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Experience Level
Mid to Senior
Qualifications
Required Skills:• Proficient experience with both relational and non-relational databases.• Expertise in building and optimizing Big Data pipelines, architectures, and datasets.• Strong analytical skills, particularly with unstructured datasets.• Advanced knowledge of Azure Data Factory, Databricks, Event Hub, Python, PySpark, Azure Synapse, and SQL.• Mandatory experience with Azure DevOps for deployment of data objects. Qualifications and Experience:• Over 5 years of experience in the Azure domain, including at least 4 years in relevant roles.• Minimum of 3 successful implementations from conceptualization to delivery of analytics solutions on the Azure platform.• Experience in the automotive domain is essential.• Familiarity with the Azure cloud stack is a must.• Knowledge of SAP IS-Auto, SAP BW/BO, Tableau, and PowerBI is an added advantage.• A Bachelor’s degree in Computer Science or a related field. • Certification in Azure platform tools will be a plus.
About the job
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.
About ssc-hr
At ssc-hr, we are committed to innovation and excellence in the field of data engineering. Our team thrives on collaboration and creativity, driving impactful solutions for our clients. We value expertise and are dedicated to fostering professional growth in a dynamic work environment.
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 struc…
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.
Become a part of EVA Pharma, a pioneering pharmaceutical organization committed to championing health and well-being as an essential human right. Celebrated for our exceptional workplace culture, we strive to cultivate an environment that encourages support and innovation among our team members.Job Overview: We are in search of a driven and skilled Senior Lead Data Engineer to integrate into our vibrant team. The successful candidate will play a crucial role in our mission to advance human health and well-being, ensuring we uphold the highest standards of excellence within our sector. Primary Responsibilities:Architect, develop, and sustain robust ETL/ELT pipelines that transfer data from various sources into cloud-based data warehouses such as Snowflake, BigQuery, or Databricks. Guarantee real-time or near-real-time data processing for analytical dashboards and operational systems while continuously optimizing performance to adeptly manage increasing data volumes.Establish automated validation protocols, anomaly detection mechanisms, and alerting systems to uphold superior data accuracy. Ensure all pipelines adhere to data privacy and security regulations (e.g., GDPR, SOC 2). Maintain comprehensive documentation and data lineage to facilitate audits and cross-team transparency.Assess and implement new tools like Airflow, dbt, Kafka, or Spark to enhance operational efficiency and scalability. Collaborate with AI/ML teams to support the deployment and integration of sophisticated models.Create best practices for data modeling, storage efficiency, and version control. Align data structures with critical business metrics and analytical applications to ensure consistency across various departments.Conduct design evaluations, uphold high-quality coding standards, and promote a collaborative environment centered on innovation and ongoing enhancement. Additionally, mentor and guide fellow data engineers to refine their technical expertise and boost project outcomes.
About the Role:We seek a dynamic and experienced SOC Team Lead to spearhead the development and launch of our innovative SOC-as-a-Service offering. In this pivotal role, you will be responsible for building a streamlined and efficient security operations team while validating our business model as we expand. You will have the opportunity to shape the team's structure, define critical processes, and engage directly in delivering exceptional security services to our clients.Key Responsibilities:Establish and set up our SOC team from the ground up.Define roles and responsibilities within the team and recruit initial members.Develop and validate operational processes, focusing on monitoring, incident response, and client communication.Ensure the SOC consistently meets high service standards and aligns with client requirements.
Join our dynamic team at Integrant as a Lead Storage Engineer, where your expertise will be crucial in managing diverse data storage infrastructures. We are looking for a passionate and seasoned professional with in-depth knowledge of Weka, Ceph, and other parallel and object storage solutions. In this role, you will oversee various storage administration responsibilities, such as provisioning, configuring, monitoring, and troubleshooting, all while interacting with our clients.Key Responsibilities:Manage and maintain Weka and Ceph storage environments.Provision storage resources to fulfill application and user needs.Configure and manage storage pools, volumes, and snapshots.Implement and uphold data protection strategies, including backups and replication.Monitor storage performance and capacity utilization.Identify and resolve storage-related issues efficiently.Carry out routine maintenance tasks as required.Stay informed about the latest storage technologies and best practices.Document storage configurations and procedures clearly.Participate in an on-call rotation to provide critical support for AI and High-Performance Computing (HPC) operations.
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.
We are seeking an experienced and dynamic Commercial Team Lead to join our Growth Accounts team in the vibrant city of Cairo. In this pivotal role, you will drive our commercial strategies and foster key relationships across the Middle East and Africa (MEA) region. Your leadership will be critical in identifying growth opportunities, optimizing account performance, and ensuring the highest level of client satisfaction.
Join our dynamic team as a Senior Data Engineer, where you will harness the power of data to drive impactful solutions. You will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support our mission of fostering inclusivity in technology.Your expertise will help us analyze and interpret complex data sets, ensuring data integrity and optimizing data flows. If you are passionate about utilizing data to enhance decision-making and drive business outcomes, we want to hear from you!
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.
About AgodaAgoda is a leading online travel platform that connects travelers to the world. Founded in 2005 by two friends passionate about travel, we strive to simplify exploration for everyone.As a proud member of Booking Holdings [NASDAQ: BKNG], our diverse team of over 7,000 professionals from 90 countries collaborates globally to offer exceptional travel deals, covering millions of hotels, flights, and experiences.At Agoda, every day brings new opportunities. Our culture is driven by data and technology, fostering innovation and curiosity. If you are eager to embark on a rewarding journey and contribute to shaping the future of travel, we invite you to join our team.
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 dynamic team at SanaCommerce as a Senior Data Engineer. In this critical role, you will leverage your expertise in data engineering to build robust data pipelines and enhance our data processing capabilities. Collaborate with cross-functional teams to design and implement innovative solutions that drive data-driven decision-making across the organization.
About AgodaAt Agoda, we connect people through the joy of travel. Established in 2005 by two lifelong friends passionate about exploration, Agoda aims to simplify travel for everyone. As part of Booking Holdings [NASDAQ: BKNG], our diverse team of over 7,000 professionals from 90 countries collaborates across the globe. Every day, we facilitate connections to remarkable destinations and exceptional experiences through our extensive portfolio of hotels, flights, and activities. At Agoda, no two days are alike. Our culture thrives on data and technology, igniting curiosity and innovation. If you're ready to embark on an exciting journey and contribute to shaping the future of travel, we invite you to join us. The Opportunity: As the Account Team Lead, your primary goal will be to enhance the coverage and quality of Agoda’s supply network. You will lead a team responsible for managing a significant portfolio of emerging and high-growth supply partners, facilitating their growth at scale.
About Us:At Xenon7, we unite exceptional tech talent with world-class opportunities! Collaborating with top-tier enterprises and innovative startups, we engage in exciting, cutting-edge projects that utilize the latest technologies across various IT domains, including Data, Web, Infrastructure, AI, and more. Our expertise in developing IT solutions and providing on-demand resources enables us to partner with clients on transformative initiatives that drive innovation and business growth. Whether empowering global organizations or collaborating with pioneering startups, we are dedicated to delivering advanced, impactful solutions that address today's most intricate challenges.About the Client:Become part of one of Egypt's leading financial institutions, celebrated for its comprehensive range of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global footprint through over 50 branches and correspondents, our diverse and dynamic clientele is at the forefront of our operations. As we embark on a revolutionary digital transformation journey, we are committed to leveraging cutting-edge technologies to build a state-of-the-art data architecture that will redefine our performance and service delivery.Position Overview:We are looking for a driven and experienced Senior Data Engineer to join our expanding data team. In this pivotal role, you will design and develop scalable, high-performance data pipelines and lakehouse architectures. Collaborating closely with data modelers, analysts, and business stakeholders, you will deliver reliable real-time and batch-based data solutions that are integral to our analytics and AI-driven strategies.
About UsWelcome to Foodics! We are a premier restaurant management ecosystem and payment technology provider, established in 2014. With our headquarters in Riyadh and operations spanning five countries—including the UAE, Egypt, Jordan, and Kuwait—we proudly serve customers and partners across over 35 nations. Our cutting-edge products have facilitated the processing of more than 6 billion orders, establishing Foodics as one of the fastest-growing SaaS firms in the MENA region. Recently, we achieved a significant milestone with our third funding round, raising $170 million, which marks the largest SaaS funding in MENA to date, further enhancing our innovation capabilities to better serve business owners.Role OverviewAs a Senior Data Engineer, you will play a pivotal role in designing and constructing robust data pipelines, data contracts, and processing frameworks that drive analytics and machine learning capabilities at Foodics. You will collaborate closely with ML Engineers and platform teams to ensure our data infrastructure is reliable, scalable, and governed effectively.Your ResponsibilitiesArchitect and implement scalable ETL/ELT pipelines utilizing cloud-native solutions.Establish and uphold data contracts with domain squads and internal stakeholders.Partner with ML Engineers to facilitate feature engineering and prepare model-ready datasets.Develop monitoring, alerting, and observability mechanisms for the data infrastructure.Ensure compliance with data security, lineage, and internal governance standards.Contribute to onboarding toolkits and reusable data components.Qualifications We Seek5+ years of experience in data engineering with proven expertise in building scalable pipelines.Proficient in Python, SQL, and orchestration tools such as Airflow, AWS Glue, or Step Functions.Experience with modern Lakehouse architectures and tools (e.g., S3, Redshift, Snowflake, dbt).Strong understanding of data modeling, lineage, observability, and governance frameworks (e.g., dimensional modeling, normalized vs. denormalized structures).Familiarity with ACID-compliant data formats like Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large-scale datasets with features such as time travel and schema evolution.Expertise in building fault-tolerant, testable, and maintainable pipelines in production settings.Demonstrated ability to collaborate effectively within cross-functional teams, including ML Engineers, Analysts, and Product Managers.Familiarity with CI/CD and infrastructure-as-code tools (Terraform/CDK preferred).Excellent communication skills with a focus on documentation, standards, and continuous improvement.Ideal Candidate TraitsKnowledge of MLOps integration and streaming technologies is a plus.
Data Pipeline Development & InfrastructureArchitect, develop, and sustain robust and scalable data pipelines that support both structured and unstructured data.Create and implement real-time and batch data processing frameworks.Develop ETL/ELT workflows for data ingestion from diverse sources, ensuring optimal performance and reliability.Enhance data storage and retrieval mechanisms for real-time and batch operations.Design a cost-effective and efficient data infrastructure that adapts to the evolving needs of the business.Data Solutions & AI-Driven ApplicationsConstruct data pipelines to support machine learning recommenders, search functionalities, and AI-enhanced features.Develop and maintain data models, APIs, and integrations that facilitate analytics and customer applications.Support eCommerce data solutions such as product recommendations, customer segmentation, and personalization strategies.Collaboration & Continuous ImprovementCollaborate with Data Architects, Analysts, and Product Teams to identify data requirements and deliver top-tier solutions.Monitor and resolve performance issues to maintain high availability and efficiency of data pipelines.Continuously enhance the cost, performance, and scalability of data engineering solutions.
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.
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.
The Area Team Leader Engineer at Nawy Real Estate plays a pivotal role in overseeing and guiding a team of engineers within a designated geographical area. This position entails coordinating engineering operations, ensuring compliance with project specifications, and optimizing resource allocation across various projects to achieve exceptional outcomes.Key Responsibilities:Lead and direct the engineering team in executing construction projects, ensuring compliance with quality, safety, and environmental standards.Oversee project planning, resource distribution, and scheduling to guarantee timely achievement of project milestones.Collaborate with project managers and stakeholders to establish project goals, objectives, and performance indicators.Conduct regular site inspections to assess progress, resolve issues, and offer guidance to team members.Enhance communication between engineering teams and other departments to ensure alignment and cooperative efforts.Mentor and nurture team members, promoting a culture of continuous improvement and professional development.Implement and uphold effective engineering procedures, processes, and best practices.Prepare progress reports and presentations for stakeholders, ensuring transparency and accountability.Tackle and resolve any technical challenges that may arise during project execution.Stay informed about industry trends and advancements to ensure engineering practices remain innovative and efficient.
At Unifonic, a proud recipient of the Great Place to Work® award, we are an innovative startup in the SaaS domain, transforming business communication. Our dedicated team of over 500 enthusiastic Unifones is committed to providing exceptional experiences for more than 5000 customer-focused businesses.We foster a fun and collaborative culture where creativity thrives and new ideas are welcomed. As stakeholders in our company, we are more than just communicators; we are Unifones. Join us and contribute to something remarkable!Join Our Engineering Team!Our Engineering team is pivotal in designing, developing, and maintaining the technologies that power Unifonic’s solutions. We collaborate closely with various departments to ensure our offerings align with customer needs. If you have a passion for technology and are eager to work on innovative communication and engagement solutions, we want to hear from you.As the Software Engineering Lead, you will actively engage in the software development process while managing your own team. This role involves regularly contributing to production code.Help Us Shape the Future of Communication by:Assisting with the recruitment and onboarding of engineering talent.Collaborating with other engineering teams to identify changing requirements and enhance the development environment.Working with product managers, designers, and engineers to prioritize and plan tasks.Communicating project status, risks, and requirements across teams.Providing both technical and non-technical guidance to the team individually and collectively.
