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Join Our Team!
Integrant is on the lookout for innovative thinkers to step into the role of Lead Data Scientist. As a pivotal member of our team, you will be entrusted with the following responsibilities:
Utilize your expertise in mathematics, statistics, and computer science to derive actionable insights from a variety of data forms, structured, semi-structured, and unstructured, empowering our clients to make informed, data-driven decisions.
Engage in exploratory research to create novel algorithms tailored to meet specific client requirements, particularly for challenges that existing methods cannot address.
Collaborate closely with clients to understand their data science needs through thorough requirement gathering.
Provide mentorship and guidance to junior data science team members, fostering their professional growth.
Deliver robust machine learning models to clients while facilitating knowledge transfer.
Join Our Team!Integrant is on the lookout for innovative thinkers to step into the role of Lead Data Scientist. As a pivotal member of our team, you will be entrusted with the following responsibilities:Utilize your expertise in mathematics, statistics, and computer science to derive actionable insights from a variety of data forms—structured, semi-structure…
mylo is an innovative fintech platform dedicated to empowering millions of individuals and businesses by offering accessible and responsible financial solutions. Whether you're acquiring a mobile phone, purchasing a stylish jacket, booking a flight, or covering educational expenses, mylo allows you to buy now and pay later at countless points of sale throughout Egypt. Originating from B.TECH—Egypt’s premier electronics and appliance retailer with over 27 years of experience in providing buy now, pay later options—mylo carries a legacy of trust and creative solutions in the fintech realm. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.We are on the lookout for a dedicated and skilled Senior Data Engineer to enhance our team within the Fintech sector. This role is perfect for someone who excels in a dynamic environment and is eager to design, build, and scale secure, high-performance infrastructure to support a variety of financial products.Responsibilities Design, develop, and maintain large-scale, reliable data pipelines utilizing Python, SQL, and big data technologies such as Apache Spark and Kafka. Build and optimize ETL/ELT processes for data transformation, loading, and integration from diverse sources. Develop and maintain data storage solutions using both relational and NoSQL databases, including SQL Server, PostgreSQL, MySQL, and MongoDB. Implement and manage CI/CD pipelines for data workflows, facilitating automated deployments and version control. Utilize AWS services to construct, deploy, and monitor cloud-based, scalable data solutions. Leverage Apache Airflow for orchestrating workflows and PostHog for analytics tracking and event data. Oversee and enhance data warehousing solutions to meet business intelligence and analytics requirements. Ensure data accuracy, consistency, and security across various systems and sources. Troubleshoot and optimize data systems for performance, scalability, and cost efficiency. Actively foster and contribute to a collaborative, innovative, and agile team culture.
Key ResponsibilitiesArchitect and implement scalable and dependable data pipeline solutions.Prioritize and manage daily tasks in alignment with sprint planning outcomes.Collaborate with various commercial teams to deliver tailored customer offerings.Guarantee timely delivery of high-quality outputs.Plan releases and provide comprehensive support for deployed packages.
b_labs serves as the transformative and digitization division of B.TECH, dedicated to revolutionizing the industry landscape. Our focus lies in driving technological innovation at B.TECH, a pillar of the Egyptian retail sector, as we strive to establish ourselves as the foremost omni-channel platform for consumer electronics and appliances in Egypt. By becoming a part of b_labs, you will experience the dynamic atmosphere of a startup while benefiting from the stability of a well-established company that has consistently demonstrated robust growth. You will join a forward-thinking, customer-centric team with a bold objective: to lead the digital retail transformation across the Middle East.
We are seeking a talented Senior Software Engineer with a strong focus in Salesforce development or data engineering, complemented by a solid understanding of adjacent domains. Join our dynamic IT team, where each member plays a crucial role in delivering innovative solutions.In this high-impact role, you will transition between gathering requirements, crafting Salesforce solutions, designing data pipelines, and integrating various systems. We value your expertise in your primary domain and your ability to solve problems resourcefully across different areas.Our Approach to AI: We leverage AI tools such as Anthropic, Cursor, and OpenAI as integral components of our workflow. Our team has successfully implemented AI-assisted development for production data pipelines, governance workflows, and system integrations. We expect you to harness AI to enhance your work, ensuring that your depth of knowledge guides the validation of AI-generated outputs.Key Responsibilities:Lead the end-to-end delivery of business systems projects, from requirements gathering and stakeholder workshops to development, user acceptance testing, and deployment.Develop and maintain Salesforce solutions, including Apex, Lightning Web Components, and integrations with ERP and other business systems.Design and manage data pipelines using tools like Airbyte, dbt, and Dagster, and maintain BI dashboards using Tableau.Create technical specifications, prioritize the roadmap, and oversee change management processes.Utilize AI tools on a daily basis to expedite development, analysis, and problem-solving.Provide mentorship to team members and advocate for best practices in the software development lifecycle and data governance.
Enhancing Data Quality and Reliability:• Develop and implement advanced methodologies to boost the reliability and quality of data.• Integrate raw data from diverse sources to form consistent and machine-readable formats.Structural Development:• Design, develop, and test data structures that facilitate data extraction and transformation for predictive and prescriptive modeling.Process Definition:• Establish and oversee development, testing, release, update, and support processes for data engineering operations. Analyze and resolve code issues effectively.Big Data Models:• Create and optimize big data models and use cases based on the established data structure, preparing them for end-user data operations.Query Execution:• Formulate and execute queries on both structured and unstructured data sources to diagnose process issues and perform bulk updates.Feature Layer Development:• Design and implement the feature zone with essential features and KPIs required by various stakeholders, aiding in the construction of robust machine learning models.Batch Scheduling and Reporting:• Ensure accurate and timely batch production scheduling and report distribution.Ad Hoc Requests:• Address ad hoc requests from users, such as data research, file manipulation and transfer, as well as investigating process issues.
Join our dynamic team as an Azure Data Engineer, where you'll leverage your expertise to evaluate and transform complex data sources, both SAP and non-SAP, into actionable business insights. Your role will involve developing and integrating these data sources into our cutting-edge Azure Data platform, ensuring that our analytics capabilities stay ahead of the curve. Key Responsibilities:• Conduct in-depth analyses of structured, semi-structured, and unstructured data sources to assess quality, completeness, and business impact.• Create, document, develop, implement, and test rapid prototypes demonstrating the value of data, showcasing your work to varied audiences.• Engage in early-stage design and feature definition processes.• Develop robust data pipelines using the Microsoft toolset and Databricks Stack, ensuring they are reusable and scalable.• Collaborate effectively with multidisciplinary engineering teams to integrate proven prototypes into production.
Join Our Team as a Senior Data Architect!We are looking for a dynamic and experienced Senior Data Architect to lead our data modeling initiatives and drive our data strategy. You will play a crucial role in shaping the architecture of our data solutions and ensuring they align with business and IT requirements.Key Responsibilities:Lead the design and development of conceptual, logical, and physical data models.Implement business and IT data requirements across various platforms, including relational, dimensional, and NoSQL.Establish and uphold data modeling and design standards, utilizing effective tools and best practices.Oversee the implementation of RDBMS, operational data stores (ODS), data marts, and data lakes.Identify architecture, infrastructure, and interfaces to data sources, ensuring robust security and analytic model support.Enhance data query performance through best practices and pinpoint opportunities for improvement in existing data systems.Collaborate with cross-functional teams to address project needs and mitigate delivery risks.Support the development of data tools for reporting, visualization, analytics, and machine learning initiatives.Design and manage data infrastructure to ensure organized data extraction, storage, and accessibility for authorized users.Identify and integrate internal and external data sources while ensuring data accuracy, security, and accessibility.
Role Overview PetroApp is seeking a Lead Data Engineer in Cairo to shape and advance the company’s data capabilities. This senior role influences PetroApp’s data strategy, working across analytics, business intelligence, engineering, governance, and advanced analytics. The Lead Data Engineer partners closely with Product, Engineering, Operations, Commercial, Finance, and Leadership to position data as a strategic asset for the company. This position focuses on building a solid data foundation, establishing KPIs, and enabling data-driven decisions. Key applications include transaction analytics, customer growth, fraud detection, operational improvements, and unit economics. Main Responsibilities Define and guide PetroApp’s data strategy, roadmap, and operational approach. Develop and scale data infrastructure for ingestion, transformation, modeling, warehousing, and self-service analytics. Establish a single source of truth for essential business and product metrics. Work with Product and Engineering to improve instrumentation, event tracking, experimentation, and measurement. Partner with Commercial, Operations, Finance, and Leadership to deliver actionable insights and clear dashboards. Design KPI frameworks covering customer growth, retention, transaction performance, service adoption, operational efficiency, fraud prevention, and profitability. Build dashboards, reporting layers, and analytical models that support daily operations and long-term strategy. Implement data governance practices, including quality checks, lineage tracking, documentation, access controls, and privacy compliance. Identify and prioritize advanced analytics use cases such as forecasting, anomaly detection, and process automation. Conduct root-cause analysis on business or operational challenges and translate findings into practical strategies. Recruit, mentor, and develop a high-performing data team over time. Champion a strong data culture throughout PetroApp.
Join mylo, the innovative consumer finance division of B.TECH, as we transform the financial sector. We are in search of a passionate and results-driven Senior Data Analyst who will be instrumental in guiding our data-driven strategies and shaping our future. Collaborating with diverse teams, you will harness the potential of data, develop predictive models, and provide valuable insights that drive key business decisions.In your role as Senior Data Analyst, you will:Lead the creation and implementation of advanced dashboards and visualizations.Perform in-depth analyses to uncover business opportunities and assess potential risks.Work alongside cross-functional teams to establish key performance indicators (KPIs) and devise data strategies.Design and manage detailed data models and ETL processes.Mentor junior analysts and champion the integration of analytics best practices.
Join Our Dynamic Team!At Integrant, we are seeking innovative minds to step into the role of Senior Data Architect. In this pivotal position, you will be tasked with architecting comprehensive solutions for data ingestion, storage, processing, transformation, enrichment, and presentation tailored for analytical insights. Your responsibilities will encompass gathering requirements, selecting and customizing analytical frameworks to meet client demands, designing and constructing data pipelines, and formulating data strategies. You will also mentor clients and internal teams on cutting-edge architectures (such as Data Warehouses, Data Lakes, Data Lakehouses, Data Fabrics, Data Meshes) and methodologies (including DataOps and MLOps).
Recognized as a Great Place to Work®, Unifonic is an innovative startup in the SaaS industry, transforming business communication. Our vibrant team of 500 dedicated professionals is committed to enhancing the experience of over 5,000 customer-focused companies.We take pride in our collaborative and enjoyable work culture that fosters creativity and innovation. As stakeholders in our venture, we are more than just communicators; we are Unifones. Join us and contribute to our exciting journey!As the AI Engineering Manager, you will be instrumental in defining and implementing our AI strategies, merging technical acumen with effective people management.Join our Engineering Team!Our Engineering department is responsible for the design, development, and maintenance of the technologies integral to Unifonic's solutions. Collaborating closely with various departments, we ensure our offerings meet the evolving needs of our clients. If you're passionate about cutting-edge technology and eager to work on pioneering communication and engagement solutions, we want to hear from you.In your role as AI Engineering Manager, you will lead and nurture a team of talented AI engineers while remaining hands-on in technical projects. This dual focus allows you to guide your team in delivering exceptional AI solutions while actively participating in architectural decisions, code reviews, performance enhancements, and proof-of-concept developments. You will cultivate a culture of continuous learning, technical excellence, and collaboration, ensuring both technology and talent flourish under your guidance.Help us redefine communication by:Acting as the technical expert in AI model design, architecture, and product integration.Leading the assessment, selection, and implementation of AI/ML frameworks, tools, and best practices to ensure scalability, robustness, and maintainability.Engaging in hands-on coding, solution prototyping, and code reviews to uphold quality standards and guide the team through complex challenges.Overseeing and refining the AI development lifecycle, including model training, validation, deployment, and ongoing enhancement.Leading a team of AI engineers by providing mentorship, regular feedback, and career growth support.Establishing clear performance expectations, conducting performance reviews, and identifying growth opportunities for team members.Promoting a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration.
Join Contentsquare, a pioneering experience intelligence platform that empowers organizations to understand every facet of their customers’ digital journeys. Our adaptable and robust platform provides deep insights, enabling businesses to enhance their online presence and customer interactions.As a recognized leader in experience analytics, we operate across 15 global offices and are committed to continuous growth. We seek innovative team members who are eager to make a significant impact and help us scale our operations.At Contentsquare, we foster an inclusive workplace that promotes learning and success for all. Our community comprises bold, empathetic, and intentional individuals. We invite you to collaborate with us in simplifying the complex for our clients, their customers, and each other.Important note: Beware of scammers impersonating Contentsquare. We will never request payment or contact you through random messages. For more details, visit our careers blog.#LI-FB1In our Data Infrastructure team, we manage billions of events daily and analyze hundreds of terabytes of data in real time.We are actively seeking both mid-level and senior engineers to join our passionate and skilled team, tasked with designing and developing the next generation of our data architecture, delivering real-time insights at an unparalleled scale.Your daily responsibilities will include:- Leading large-scale projects that involve intricate systems utilizing cutting-edge technologies.- Innovating smart data formats and efficient data exchange methods to enhance product functionality while optimizing cost and performance.- Elevating the team's expertise by introducing new ideas and mentoring fellow developers, leveraging various open-source technologies such as Scala, Go, Kafka, and ClickHouse.Why join Contentsquare's Data Engineering team?- Engage in diverse and exciting projects that will transform analytics and user experience through big data.- Challenge yourself by developing distributed infrastructures in a fast-paced, data-intensive environment.- Benefit from an atmosphere where you can be a technical authority in your areas of expertise, while taking on responsibilities in strategic corporate initiatives and collaborating with peers.
Envision Employment Solutions is on the lookout for a skilled Data Operations and Support Engineer to join our esteemed partner, a renowned global leader in IT Services and Consulting.Job SummaryThe Data Operations and Support Engineer will play a crucial role in ensuring the seamless operation and support of enterprise data platforms and integrations. This includes monitoring, troubleshooting, and maintaining production workflows across various systems such as SAP PO, Informatica, and Cloudera, while upholding data integrity and ensuring timely issue resolution.Key ResponsibilitiesOversee the end-to-end implementation of data strategies to support enterprise data management functions.Utilize supporting tools and logs to identify and present root causes of data issues across different functions.Manage the processes of production data operations, deployments, documentation, and data population to ensure compliance with corporate data management standards.Collaborate closely with data functions to ensure all support processes adhere to bank policies, internal controls, data protection legislation, and relevant industry standards.Identify opportunities for process efficiency and improvement, proposing and implementing data automation initiatives.Foster strong collaborative relationships with internal stakeholders, subject matter experts, clients, and vendors.Implement and oversee data backup, restore, and archiving solutions.Ensure data availability throughout its lifecycle.Monitor and manage the performance of data solutions, layers, and transactions.Align database standards from DBA to data support requirements across management layers.Support new data products and participate in new project initiatives.
About UsAt Infomineo, we are a trailblazing global research company leveraging advanced AI technologies to reshape how businesses access and harness critical intelligence. Our evolution from traditional business research outsourcing to a strategic partner is powered by a blend of cutting-edge artificial intelligence and seasoned human expertise. We proudly offer three core services to our esteemed global clientele, which includes leading consulting firms, Fortune 500 companies, and governmental organizations: AI and Data Advisory, Next-Gen Insights, and Resource Scaling. Our success is underpinned by three pillars of excellence: a team of over 350 industry experts across five offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), our proprietary AI orchestrator, and an extensive repository of knowledge that includes over 500,000 delivered case studies and comprehensive database subscriptions.Are you ready to elevate your career with us?About This RoleThis position offers a unique opportunity to spearhead high-value data and analytics projects, crafting innovative solutions that deliver substantial benefits to our clients within a dynamic service company.Key ResponsibilitiesAssist businesses in their decision-making processes for data-driven initiatives through the following:Collaborating on the design of technical solutions for data collection, analysis, and result presentation.Recommending strategic solutions to address business challenges.Effectively presenting results in a clear, concise manner.Data Acquisition & PreparationWorking alongside Data Scientists to clean and prepare datasets.Collecting and transforming data from diverse sources in big data environments.Data AnalysisProviding insightful data visualizations to support business decision-making.Analyzing and interpreting data to uncover complex relationships and trends.Enhancing data exploration through machine learning techniques.DeploymentIntegrating analytics models into the client's information systems.Supporting IT teams throughout the production, maintenance, and updating phases of developed models.
Advansys is an innovative technology solutions provider dedicated to delivering intelligent, modular, and sustainable solutions that enhance operational efficiency, elevate customer experiences, and facilitate business transformation. With a team of over 400 talented engineers, we support more than 100 enterprise clients across 14 countries. Our expertise spans a comprehensive range of premium services, including Business Automation, Industrial Digitization, Low-Code Development, Cloud Services, Warehouse Automation, and Strategic Outsourcing.Founded in 2014, Advansys operates under the umbrella of the INTRO Group, a well-established private conglomerate since 1980, engaging in various sectors such as oil and gas, real estate, specialized engineering, financial investment, food, and manufacturing.Job Responsibilities: Develop and uphold modeling standards, guidelines, best practices, and approved methodologies. Oversee the creation and governance of all physical and logical data models within the organization. Engage in the evaluation of new software acquisitions by reviewing proposed data models within packaged or commercially available applications. Participate in data integration, business intelligence, and content management teams. Contribute to data integration and Enterprise Information Management (EIM) initiatives by streamlining data processing for reusable module development. Collaborate with the data services administrator to create data objects and models supporting data services under a service-oriented architecture. Lead the data administration team, focusing on modeling, metadata management, and user query optimization. Coordinate with the data modeling team, data warehouse team, and application owners to clarify data interface requirements and assist project developers in resolving data-related issues, ensuring effective management of gatekeeper functions to reduce redundancy and enhance data accuracy. Assist in selecting data management tools and developing standards, guidelines, and procedures for their use. Document the current data architecture to maintain an accurate ‘as is’ view and define the desired ‘to be’ state. Visualize data flows and lineage to illustrate current data movement across key data landscape components and define future states. Collaborate with various technology and business stakeholders to address and escalate issues regarding data solutions, ensuring alignment and approval throughout the software development life cycle until deployment. Provide constructive feedback and suggestions for improving standards and methodologies.
Role OverviewWe are seeking a highly skilled Data Engineer Team Lead to spearhead the design and validation of robust data pipelines, data structures, and cutting-edge big data solutions, including data lake platforms. This role is crucial for optimizing data search and retrieval processes within our organization. You will collaborate closely with data structure designers to establish a comprehensive enterprise data architecture.Key ResponsibilitiesEnhancing Data Quality and Reliability:* Develop and implement innovative strategies to enhance data reliability and quality.* Integrate raw data from diverse sources to produce consistent, machine-readable formats.Data Structure Development:* Lead the design and testing of data structures that facilitate effective data extraction and transformation for predictive and prescriptive analytics.Process Definition:* Establish and manage development, testing, release, and support processes for data engineering operations. Identify and rectify code bugs as necessary.Big Data Model Development:* Oversee the creation of big data models and use cases that are aligned with data structures, preparing them for seamless data operations.Query Execution:* Formulate and execute queries on both structured and unstructured data sources to diagnose process issues or conduct bulk updates.Feature Layer Implementation:* Direct the development and implementation of feature zones with essential features and KPIs requested by stakeholders to support robust machine learning models.Batch Scheduling and Reporting:* Ensure accuracy and timeliness in batch production scheduling and report distribution.Data Transformation Management:* Design and oversee processes that support data transformation, data structures, metadata management, dependency tracking, and workload management.Required Competencies* Performance Excellence* Leadership & Empowerment* Collaboration & Synergy Creation* Agility & Resilience* Innovation & Digital Transformation* Strategic Thinking* People-Centric ApproachTechnical Skills* Strong proficiency in Java, C#, and Python for application development.* Extensive experience with Cloudera or comparable big data platforms, including services like Apache Hive, Apache Scala, BizSpark, Impala, Apache Spark, Data Security, Kafka, HBase, Sqoop, NiFi, and Python for programming and data analysis.* Expertise in handling and processing large datasets using distributed computing frameworks.* Advanced SQL skills for querying and managing relational databases.* Comprehensive understanding of data warehousing principles and best practices.* Proficiency in data analysis and visualization tools.
As a Senior Data Governance Specialist, you will play a pivotal role in collaborating with Domain Owners to identify and prioritize Critical Data Elements (CDEs). Your responsibilities will include establishing standards for metadata management, monitoring business processes, and ensuring compliance with data governance policies.Define and implement metadata management frameworks, ensuring alignment with organizational goals.Review and approve business definitions and data lineage created by Domain Leads.Develop and maintain a comprehensive enterprise Data Dictionary.Assist in the selection and deployment of metadata management tools to enhance data governance capabilities.
About UsWelcome to Foodics! We are a premier restaurant management ecosystem and payment technology provider, established in 2014 and headquartered in Riyadh, with a footprint extending across five countries including the UAE, Egypt, Jordan, and Kuwait. With our innovative solutions, we proudly serve customers and partners in over 35 countries globally, having successfully processed more than 6 billion orders, making Foodics a standout in the rapidly evolving SaaS industry within the MENA region.Overview of the RoleWe are on the lookout for a Senior Data Analyst to join our Optimization Team. This pivotal position centers on leveraging data to enhance product performance, customer experience, and overall business results.Your responsibilities will include leading in-depth analytical investigations, designing and analyzing experiments and A/B tests, and translating complex data into straightforward, actionable insights for product, operations, and leadership teams.Key ResponsibilitiesManage comprehensive analytical projects from inception to completion: define problems, explore data, conduct analyses, and present findings.Design, execute, and assess experiments and A/B tests to gauge the impact of product and business modifications.Write advanced SQL queries to extract, transform, and efficiently analyze large datasets.Conduct deep dives to identify patterns, trends, and root causes influencing business performance.Create and sustain dashboards in Metabase and Looker Studio to track key metrics and experiments.Work closely with Product, Operations, and Business teams to establish success metrics and monitor outcomes.Convert analytical findings into clear presentations and written reports for stakeholders.Evaluate the impact of initiatives and ensure learnings are documented and reusable.Support data-driven decision-making across the Optimization Team.Collaborate with Data Engineering to enhance data quality, specify requirements for modeled tables, and request new data points or pipelines as needed.Partner with Product teams to assess product improvement initiatives, develop data-backed business cases, and prioritize projects based on impact.Collaborate with Customer Support, Sales, and Operations teams to streamline processes, eliminate inefficiencies, and optimize workflows through data.Navigate through incomplete, inconsistent, or noisy data to deliver reliable, decision-ready insights.Ideal Candidate Profile5+ years of experience in data analysis, analytics, or business intelligence roles.Advanced SQL proficiency, including complex joins, window functions, and performance optimization.Strong background in experimentation, A/B testing, and statistical analysis.Demonstrated ability to conduct in-depth analytical investigations and extract actionable insights.
Key ResponsibilitiesStrategic Collaboration: Partner with global, cross-functional teams to convert business challenges into precise technical data requirements.Dashboard Development: Craft, implement, and sustain impactful Tableau dashboards that deliver immediate insights for complex data sets.Trend Analysis: Actively discover, evaluate, and interpret data patterns. You will not only present the what, but also elucidate the why and suggest the how.Data Management: Accurately query and process extensive datasets, applying Data Warehouse (DWH) concepts to uphold data integrity and optimize performance.Problem Solving: Investigate daily challenges within the food and grocery technology landscape to provide data-driven solutions.
Join Our Team!Integrant is on the lookout for innovative thinkers to step into the role of Lead Data Scientist. As a pivotal member of our team, you will be entrusted with the following responsibilities:Utilize your expertise in mathematics, statistics, and computer science to derive actionable insights from a variety of data forms—structured, semi-structure…
mylo is an innovative fintech platform dedicated to empowering millions of individuals and businesses by offering accessible and responsible financial solutions. Whether you're acquiring a mobile phone, purchasing a stylish jacket, booking a flight, or covering educational expenses, mylo allows you to buy now and pay later at countless points of sale throughout Egypt. Originating from B.TECH—Egypt’s premier electronics and appliance retailer with over 27 years of experience in providing buy now, pay later options—mylo carries a legacy of trust and creative solutions in the fintech realm. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.We are on the lookout for a dedicated and skilled Senior Data Engineer to enhance our team within the Fintech sector. This role is perfect for someone who excels in a dynamic environment and is eager to design, build, and scale secure, high-performance infrastructure to support a variety of financial products.Responsibilities Design, develop, and maintain large-scale, reliable data pipelines utilizing Python, SQL, and big data technologies such as Apache Spark and Kafka. Build and optimize ETL/ELT processes for data transformation, loading, and integration from diverse sources. Develop and maintain data storage solutions using both relational and NoSQL databases, including SQL Server, PostgreSQL, MySQL, and MongoDB. Implement and manage CI/CD pipelines for data workflows, facilitating automated deployments and version control. Utilize AWS services to construct, deploy, and monitor cloud-based, scalable data solutions. Leverage Apache Airflow for orchestrating workflows and PostHog for analytics tracking and event data. Oversee and enhance data warehousing solutions to meet business intelligence and analytics requirements. Ensure data accuracy, consistency, and security across various systems and sources. Troubleshoot and optimize data systems for performance, scalability, and cost efficiency. Actively foster and contribute to a collaborative, innovative, and agile team culture.
Key ResponsibilitiesArchitect and implement scalable and dependable data pipeline solutions.Prioritize and manage daily tasks in alignment with sprint planning outcomes.Collaborate with various commercial teams to deliver tailored customer offerings.Guarantee timely delivery of high-quality outputs.Plan releases and provide comprehensive support for deployed packages.
b_labs serves as the transformative and digitization division of B.TECH, dedicated to revolutionizing the industry landscape. Our focus lies in driving technological innovation at B.TECH, a pillar of the Egyptian retail sector, as we strive to establish ourselves as the foremost omni-channel platform for consumer electronics and appliances in Egypt. By becoming a part of b_labs, you will experience the dynamic atmosphere of a startup while benefiting from the stability of a well-established company that has consistently demonstrated robust growth. You will join a forward-thinking, customer-centric team with a bold objective: to lead the digital retail transformation across the Middle East.
We are seeking a talented Senior Software Engineer with a strong focus in Salesforce development or data engineering, complemented by a solid understanding of adjacent domains. Join our dynamic IT team, where each member plays a crucial role in delivering innovative solutions.In this high-impact role, you will transition between gathering requirements, crafting Salesforce solutions, designing data pipelines, and integrating various systems. We value your expertise in your primary domain and your ability to solve problems resourcefully across different areas.Our Approach to AI: We leverage AI tools such as Anthropic, Cursor, and OpenAI as integral components of our workflow. Our team has successfully implemented AI-assisted development for production data pipelines, governance workflows, and system integrations. We expect you to harness AI to enhance your work, ensuring that your depth of knowledge guides the validation of AI-generated outputs.Key Responsibilities:Lead the end-to-end delivery of business systems projects, from requirements gathering and stakeholder workshops to development, user acceptance testing, and deployment.Develop and maintain Salesforce solutions, including Apex, Lightning Web Components, and integrations with ERP and other business systems.Design and manage data pipelines using tools like Airbyte, dbt, and Dagster, and maintain BI dashboards using Tableau.Create technical specifications, prioritize the roadmap, and oversee change management processes.Utilize AI tools on a daily basis to expedite development, analysis, and problem-solving.Provide mentorship to team members and advocate for best practices in the software development lifecycle and data governance.
Enhancing Data Quality and Reliability:• Develop and implement advanced methodologies to boost the reliability and quality of data.• Integrate raw data from diverse sources to form consistent and machine-readable formats.Structural Development:• Design, develop, and test data structures that facilitate data extraction and transformation for predictive and prescriptive modeling.Process Definition:• Establish and oversee development, testing, release, update, and support processes for data engineering operations. Analyze and resolve code issues effectively.Big Data Models:• Create and optimize big data models and use cases based on the established data structure, preparing them for end-user data operations.Query Execution:• Formulate and execute queries on both structured and unstructured data sources to diagnose process issues and perform bulk updates.Feature Layer Development:• Design and implement the feature zone with essential features and KPIs required by various stakeholders, aiding in the construction of robust machine learning models.Batch Scheduling and Reporting:• Ensure accurate and timely batch production scheduling and report distribution.Ad Hoc Requests:• Address ad hoc requests from users, such as data research, file manipulation and transfer, as well as investigating process issues.
Join our dynamic team as an Azure Data Engineer, where you'll leverage your expertise to evaluate and transform complex data sources, both SAP and non-SAP, into actionable business insights. Your role will involve developing and integrating these data sources into our cutting-edge Azure Data platform, ensuring that our analytics capabilities stay ahead of the curve. Key Responsibilities:• Conduct in-depth analyses of structured, semi-structured, and unstructured data sources to assess quality, completeness, and business impact.• Create, document, develop, implement, and test rapid prototypes demonstrating the value of data, showcasing your work to varied audiences.• Engage in early-stage design and feature definition processes.• Develop robust data pipelines using the Microsoft toolset and Databricks Stack, ensuring they are reusable and scalable.• Collaborate effectively with multidisciplinary engineering teams to integrate proven prototypes into production.
Join Our Team as a Senior Data Architect!We are looking for a dynamic and experienced Senior Data Architect to lead our data modeling initiatives and drive our data strategy. You will play a crucial role in shaping the architecture of our data solutions and ensuring they align with business and IT requirements.Key Responsibilities:Lead the design and development of conceptual, logical, and physical data models.Implement business and IT data requirements across various platforms, including relational, dimensional, and NoSQL.Establish and uphold data modeling and design standards, utilizing effective tools and best practices.Oversee the implementation of RDBMS, operational data stores (ODS), data marts, and data lakes.Identify architecture, infrastructure, and interfaces to data sources, ensuring robust security and analytic model support.Enhance data query performance through best practices and pinpoint opportunities for improvement in existing data systems.Collaborate with cross-functional teams to address project needs and mitigate delivery risks.Support the development of data tools for reporting, visualization, analytics, and machine learning initiatives.Design and manage data infrastructure to ensure organized data extraction, storage, and accessibility for authorized users.Identify and integrate internal and external data sources while ensuring data accuracy, security, and accessibility.
Role Overview PetroApp is seeking a Lead Data Engineer in Cairo to shape and advance the company’s data capabilities. This senior role influences PetroApp’s data strategy, working across analytics, business intelligence, engineering, governance, and advanced analytics. The Lead Data Engineer partners closely with Product, Engineering, Operations, Commercial, Finance, and Leadership to position data as a strategic asset for the company. This position focuses on building a solid data foundation, establishing KPIs, and enabling data-driven decisions. Key applications include transaction analytics, customer growth, fraud detection, operational improvements, and unit economics. Main Responsibilities Define and guide PetroApp’s data strategy, roadmap, and operational approach. Develop and scale data infrastructure for ingestion, transformation, modeling, warehousing, and self-service analytics. Establish a single source of truth for essential business and product metrics. Work with Product and Engineering to improve instrumentation, event tracking, experimentation, and measurement. Partner with Commercial, Operations, Finance, and Leadership to deliver actionable insights and clear dashboards. Design KPI frameworks covering customer growth, retention, transaction performance, service adoption, operational efficiency, fraud prevention, and profitability. Build dashboards, reporting layers, and analytical models that support daily operations and long-term strategy. Implement data governance practices, including quality checks, lineage tracking, documentation, access controls, and privacy compliance. Identify and prioritize advanced analytics use cases such as forecasting, anomaly detection, and process automation. Conduct root-cause analysis on business or operational challenges and translate findings into practical strategies. Recruit, mentor, and develop a high-performing data team over time. Champion a strong data culture throughout PetroApp.
Join mylo, the innovative consumer finance division of B.TECH, as we transform the financial sector. We are in search of a passionate and results-driven Senior Data Analyst who will be instrumental in guiding our data-driven strategies and shaping our future. Collaborating with diverse teams, you will harness the potential of data, develop predictive models, and provide valuable insights that drive key business decisions.In your role as Senior Data Analyst, you will:Lead the creation and implementation of advanced dashboards and visualizations.Perform in-depth analyses to uncover business opportunities and assess potential risks.Work alongside cross-functional teams to establish key performance indicators (KPIs) and devise data strategies.Design and manage detailed data models and ETL processes.Mentor junior analysts and champion the integration of analytics best practices.
Join Our Dynamic Team!At Integrant, we are seeking innovative minds to step into the role of Senior Data Architect. In this pivotal position, you will be tasked with architecting comprehensive solutions for data ingestion, storage, processing, transformation, enrichment, and presentation tailored for analytical insights. Your responsibilities will encompass gathering requirements, selecting and customizing analytical frameworks to meet client demands, designing and constructing data pipelines, and formulating data strategies. You will also mentor clients and internal teams on cutting-edge architectures (such as Data Warehouses, Data Lakes, Data Lakehouses, Data Fabrics, Data Meshes) and methodologies (including DataOps and MLOps).
Recognized as a Great Place to Work®, Unifonic is an innovative startup in the SaaS industry, transforming business communication. Our vibrant team of 500 dedicated professionals is committed to enhancing the experience of over 5,000 customer-focused companies.We take pride in our collaborative and enjoyable work culture that fosters creativity and innovation. As stakeholders in our venture, we are more than just communicators; we are Unifones. Join us and contribute to our exciting journey!As the AI Engineering Manager, you will be instrumental in defining and implementing our AI strategies, merging technical acumen with effective people management.Join our Engineering Team!Our Engineering department is responsible for the design, development, and maintenance of the technologies integral to Unifonic's solutions. Collaborating closely with various departments, we ensure our offerings meet the evolving needs of our clients. If you're passionate about cutting-edge technology and eager to work on pioneering communication and engagement solutions, we want to hear from you.In your role as AI Engineering Manager, you will lead and nurture a team of talented AI engineers while remaining hands-on in technical projects. This dual focus allows you to guide your team in delivering exceptional AI solutions while actively participating in architectural decisions, code reviews, performance enhancements, and proof-of-concept developments. You will cultivate a culture of continuous learning, technical excellence, and collaboration, ensuring both technology and talent flourish under your guidance.Help us redefine communication by:Acting as the technical expert in AI model design, architecture, and product integration.Leading the assessment, selection, and implementation of AI/ML frameworks, tools, and best practices to ensure scalability, robustness, and maintainability.Engaging in hands-on coding, solution prototyping, and code reviews to uphold quality standards and guide the team through complex challenges.Overseeing and refining the AI development lifecycle, including model training, validation, deployment, and ongoing enhancement.Leading a team of AI engineers by providing mentorship, regular feedback, and career growth support.Establishing clear performance expectations, conducting performance reviews, and identifying growth opportunities for team members.Promoting a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration.
Join Contentsquare, a pioneering experience intelligence platform that empowers organizations to understand every facet of their customers’ digital journeys. Our adaptable and robust platform provides deep insights, enabling businesses to enhance their online presence and customer interactions.As a recognized leader in experience analytics, we operate across 15 global offices and are committed to continuous growth. We seek innovative team members who are eager to make a significant impact and help us scale our operations.At Contentsquare, we foster an inclusive workplace that promotes learning and success for all. Our community comprises bold, empathetic, and intentional individuals. We invite you to collaborate with us in simplifying the complex for our clients, their customers, and each other.Important note: Beware of scammers impersonating Contentsquare. We will never request payment or contact you through random messages. For more details, visit our careers blog.#LI-FB1In our Data Infrastructure team, we manage billions of events daily and analyze hundreds of terabytes of data in real time.We are actively seeking both mid-level and senior engineers to join our passionate and skilled team, tasked with designing and developing the next generation of our data architecture, delivering real-time insights at an unparalleled scale.Your daily responsibilities will include:- Leading large-scale projects that involve intricate systems utilizing cutting-edge technologies.- Innovating smart data formats and efficient data exchange methods to enhance product functionality while optimizing cost and performance.- Elevating the team's expertise by introducing new ideas and mentoring fellow developers, leveraging various open-source technologies such as Scala, Go, Kafka, and ClickHouse.Why join Contentsquare's Data Engineering team?- Engage in diverse and exciting projects that will transform analytics and user experience through big data.- Challenge yourself by developing distributed infrastructures in a fast-paced, data-intensive environment.- Benefit from an atmosphere where you can be a technical authority in your areas of expertise, while taking on responsibilities in strategic corporate initiatives and collaborating with peers.
Envision Employment Solutions is on the lookout for a skilled Data Operations and Support Engineer to join our esteemed partner, a renowned global leader in IT Services and Consulting.Job SummaryThe Data Operations and Support Engineer will play a crucial role in ensuring the seamless operation and support of enterprise data platforms and integrations. This includes monitoring, troubleshooting, and maintaining production workflows across various systems such as SAP PO, Informatica, and Cloudera, while upholding data integrity and ensuring timely issue resolution.Key ResponsibilitiesOversee the end-to-end implementation of data strategies to support enterprise data management functions.Utilize supporting tools and logs to identify and present root causes of data issues across different functions.Manage the processes of production data operations, deployments, documentation, and data population to ensure compliance with corporate data management standards.Collaborate closely with data functions to ensure all support processes adhere to bank policies, internal controls, data protection legislation, and relevant industry standards.Identify opportunities for process efficiency and improvement, proposing and implementing data automation initiatives.Foster strong collaborative relationships with internal stakeholders, subject matter experts, clients, and vendors.Implement and oversee data backup, restore, and archiving solutions.Ensure data availability throughout its lifecycle.Monitor and manage the performance of data solutions, layers, and transactions.Align database standards from DBA to data support requirements across management layers.Support new data products and participate in new project initiatives.
About UsAt Infomineo, we are a trailblazing global research company leveraging advanced AI technologies to reshape how businesses access and harness critical intelligence. Our evolution from traditional business research outsourcing to a strategic partner is powered by a blend of cutting-edge artificial intelligence and seasoned human expertise. We proudly offer three core services to our esteemed global clientele, which includes leading consulting firms, Fortune 500 companies, and governmental organizations: AI and Data Advisory, Next-Gen Insights, and Resource Scaling. Our success is underpinned by three pillars of excellence: a team of over 350 industry experts across five offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), our proprietary AI orchestrator, and an extensive repository of knowledge that includes over 500,000 delivered case studies and comprehensive database subscriptions.Are you ready to elevate your career with us?About This RoleThis position offers a unique opportunity to spearhead high-value data and analytics projects, crafting innovative solutions that deliver substantial benefits to our clients within a dynamic service company.Key ResponsibilitiesAssist businesses in their decision-making processes for data-driven initiatives through the following:Collaborating on the design of technical solutions for data collection, analysis, and result presentation.Recommending strategic solutions to address business challenges.Effectively presenting results in a clear, concise manner.Data Acquisition & PreparationWorking alongside Data Scientists to clean and prepare datasets.Collecting and transforming data from diverse sources in big data environments.Data AnalysisProviding insightful data visualizations to support business decision-making.Analyzing and interpreting data to uncover complex relationships and trends.Enhancing data exploration through machine learning techniques.DeploymentIntegrating analytics models into the client's information systems.Supporting IT teams throughout the production, maintenance, and updating phases of developed models.
Advansys is an innovative technology solutions provider dedicated to delivering intelligent, modular, and sustainable solutions that enhance operational efficiency, elevate customer experiences, and facilitate business transformation. With a team of over 400 talented engineers, we support more than 100 enterprise clients across 14 countries. Our expertise spans a comprehensive range of premium services, including Business Automation, Industrial Digitization, Low-Code Development, Cloud Services, Warehouse Automation, and Strategic Outsourcing.Founded in 2014, Advansys operates under the umbrella of the INTRO Group, a well-established private conglomerate since 1980, engaging in various sectors such as oil and gas, real estate, specialized engineering, financial investment, food, and manufacturing.Job Responsibilities: Develop and uphold modeling standards, guidelines, best practices, and approved methodologies. Oversee the creation and governance of all physical and logical data models within the organization. Engage in the evaluation of new software acquisitions by reviewing proposed data models within packaged or commercially available applications. Participate in data integration, business intelligence, and content management teams. Contribute to data integration and Enterprise Information Management (EIM) initiatives by streamlining data processing for reusable module development. Collaborate with the data services administrator to create data objects and models supporting data services under a service-oriented architecture. Lead the data administration team, focusing on modeling, metadata management, and user query optimization. Coordinate with the data modeling team, data warehouse team, and application owners to clarify data interface requirements and assist project developers in resolving data-related issues, ensuring effective management of gatekeeper functions to reduce redundancy and enhance data accuracy. Assist in selecting data management tools and developing standards, guidelines, and procedures for their use. Document the current data architecture to maintain an accurate ‘as is’ view and define the desired ‘to be’ state. Visualize data flows and lineage to illustrate current data movement across key data landscape components and define future states. Collaborate with various technology and business stakeholders to address and escalate issues regarding data solutions, ensuring alignment and approval throughout the software development life cycle until deployment. Provide constructive feedback and suggestions for improving standards and methodologies.
Role OverviewWe are seeking a highly skilled Data Engineer Team Lead to spearhead the design and validation of robust data pipelines, data structures, and cutting-edge big data solutions, including data lake platforms. This role is crucial for optimizing data search and retrieval processes within our organization. You will collaborate closely with data structure designers to establish a comprehensive enterprise data architecture.Key ResponsibilitiesEnhancing Data Quality and Reliability:* Develop and implement innovative strategies to enhance data reliability and quality.* Integrate raw data from diverse sources to produce consistent, machine-readable formats.Data Structure Development:* Lead the design and testing of data structures that facilitate effective data extraction and transformation for predictive and prescriptive analytics.Process Definition:* Establish and manage development, testing, release, and support processes for data engineering operations. Identify and rectify code bugs as necessary.Big Data Model Development:* Oversee the creation of big data models and use cases that are aligned with data structures, preparing them for seamless data operations.Query Execution:* Formulate and execute queries on both structured and unstructured data sources to diagnose process issues or conduct bulk updates.Feature Layer Implementation:* Direct the development and implementation of feature zones with essential features and KPIs requested by stakeholders to support robust machine learning models.Batch Scheduling and Reporting:* Ensure accuracy and timeliness in batch production scheduling and report distribution.Data Transformation Management:* Design and oversee processes that support data transformation, data structures, metadata management, dependency tracking, and workload management.Required Competencies* Performance Excellence* Leadership & Empowerment* Collaboration & Synergy Creation* Agility & Resilience* Innovation & Digital Transformation* Strategic Thinking* People-Centric ApproachTechnical Skills* Strong proficiency in Java, C#, and Python for application development.* Extensive experience with Cloudera or comparable big data platforms, including services like Apache Hive, Apache Scala, BizSpark, Impala, Apache Spark, Data Security, Kafka, HBase, Sqoop, NiFi, and Python for programming and data analysis.* Expertise in handling and processing large datasets using distributed computing frameworks.* Advanced SQL skills for querying and managing relational databases.* Comprehensive understanding of data warehousing principles and best practices.* Proficiency in data analysis and visualization tools.
As a Senior Data Governance Specialist, you will play a pivotal role in collaborating with Domain Owners to identify and prioritize Critical Data Elements (CDEs). Your responsibilities will include establishing standards for metadata management, monitoring business processes, and ensuring compliance with data governance policies.Define and implement metadata management frameworks, ensuring alignment with organizational goals.Review and approve business definitions and data lineage created by Domain Leads.Develop and maintain a comprehensive enterprise Data Dictionary.Assist in the selection and deployment of metadata management tools to enhance data governance capabilities.
About UsWelcome to Foodics! We are a premier restaurant management ecosystem and payment technology provider, established in 2014 and headquartered in Riyadh, with a footprint extending across five countries including the UAE, Egypt, Jordan, and Kuwait. With our innovative solutions, we proudly serve customers and partners in over 35 countries globally, having successfully processed more than 6 billion orders, making Foodics a standout in the rapidly evolving SaaS industry within the MENA region.Overview of the RoleWe are on the lookout for a Senior Data Analyst to join our Optimization Team. This pivotal position centers on leveraging data to enhance product performance, customer experience, and overall business results.Your responsibilities will include leading in-depth analytical investigations, designing and analyzing experiments and A/B tests, and translating complex data into straightforward, actionable insights for product, operations, and leadership teams.Key ResponsibilitiesManage comprehensive analytical projects from inception to completion: define problems, explore data, conduct analyses, and present findings.Design, execute, and assess experiments and A/B tests to gauge the impact of product and business modifications.Write advanced SQL queries to extract, transform, and efficiently analyze large datasets.Conduct deep dives to identify patterns, trends, and root causes influencing business performance.Create and sustain dashboards in Metabase and Looker Studio to track key metrics and experiments.Work closely with Product, Operations, and Business teams to establish success metrics and monitor outcomes.Convert analytical findings into clear presentations and written reports for stakeholders.Evaluate the impact of initiatives and ensure learnings are documented and reusable.Support data-driven decision-making across the Optimization Team.Collaborate with Data Engineering to enhance data quality, specify requirements for modeled tables, and request new data points or pipelines as needed.Partner with Product teams to assess product improvement initiatives, develop data-backed business cases, and prioritize projects based on impact.Collaborate with Customer Support, Sales, and Operations teams to streamline processes, eliminate inefficiencies, and optimize workflows through data.Navigate through incomplete, inconsistent, or noisy data to deliver reliable, decision-ready insights.Ideal Candidate Profile5+ years of experience in data analysis, analytics, or business intelligence roles.Advanced SQL proficiency, including complex joins, window functions, and performance optimization.Strong background in experimentation, A/B testing, and statistical analysis.Demonstrated ability to conduct in-depth analytical investigations and extract actionable insights.
Key ResponsibilitiesStrategic Collaboration: Partner with global, cross-functional teams to convert business challenges into precise technical data requirements.Dashboard Development: Craft, implement, and sustain impactful Tableau dashboards that deliver immediate insights for complex data sets.Trend Analysis: Actively discover, evaluate, and interpret data patterns. You will not only present the what, but also elucidate the why and suggest the how.Data Management: Accurately query and process extensive datasets, applying Data Warehouse (DWH) concepts to uphold data integrity and optimize performance.Problem Solving: Investigate daily challenges within the food and grocery technology landscape to provide data-driven solutions.
