Data Operations and Support Engineer

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 …

Job Overview:Join our dynamic team as a Data Operations & Support Specialist, where you will play a critical role in managing data processes on a daily basis. Your expertise will ensure the reliability, performance, and quality of our data systems. The ideal candidate will possess advanced SQL skills, a solid grasp of operational support workflows, and hands-on experience in monitoring and troubleshooting database and batch processing environments.Primary Responsibilities:Oversee and manage daily data loads, ETL jobs, and scheduled batch processes to guarantee timely execution.Diagnose, analyze, and troubleshoot data-related issues and system errors, collaborating with technical teams for prompt resolutions.Ensure data availability, integrity, and quality to meet business reporting and analytics requirements.Develop and refine operational runbooks, document procedures, and standard operating processes for data support activities.Work closely with data engineering, analytics, and infrastructure teams to address and resolve complex incidents.Engage in incident, problem, and change management processes, ensuring proper tracking and communication of issues and enhancements.Support performance tuning of database queries and job optimization to enhance system efficiency.

At Sumerge, our Technical Support team is dedicated to redefining the customer experience. By delivering comprehensive support and prompt problem resolution, our support engineers meet and exceed our customers' expectations while exploring innovative technology areas, products, and multi-technology solutions.Our Support team leverages extensive technical expertise to craft tailored solutions that align with our clients' objectives, empowering them to overcome significant business challenges through the optimal utilization of our offerings.As a trusted advisor to our clients, you will be relied upon to deliver timely and precise solutions to their technical issues.

Sumerge is looking for a Senior Staff Technical Operations & Support Engineer based in Cairo. This position centers on managing technical operations and providing reliable support for clients. Role overview The Senior Staff Technical Operations & Support Engineer takes a lead role in maintaining and improving operational processes. Daily work involves collaborating with colleagues across different teams to address challenges and find ways to increase efficiency. Key responsibilities Oversee and optimize technical operations Deliver responsive support to clients Work with cross-functional teams to improve workflows and implement solutions Collaboration This role works closely with other departments to ensure that operational goals align with client needs and company objectives.

Advansys is a forward-thinking solutions provider dedicated to delivering innovative, modular, and sustainable technology solutions designed to optimize operations, enhance customer experiences, and facilitate business modernization. With a team of over 400 adept engineers, we cater to more than 100 enterprise clients across 14 nations. Our expertise spans a diverse range of premium services, including Business Automation, Industrial Digitization, Low-Code Development, Cloud Services, Warehouse Automation, and Strategic Outsourcing.Established in 2014, Advansys operates under the umbrella of the INTRO Group, a private conglomerate founded in 1980 with investments across various sectors, including oil and gas, real estate, specialized engineering, financial investments, food, and manufacturing.Job Responsibilities:Provide technical assistance for RAID systems, addressing issues related to SQL & PL/SQL queries, Hive DB, Apache Spark jobs, and Python automation.Monitor system performance and proactively pinpoint areas for optimization in data pipelines, SQL queries, and Spark jobs.Troubleshoot data system issues, including Spark jobs, Hive DB, and SQL/PLSQL processes to ensure minimal downtime.Collaborate with development and data engineering teams to implement bug fixes, performance enhancements, and system upgrades.Conduct root cause analysis for recurring issues and offer long-term solutions.Assist in the integration of data, ETL processes, and workflows, ensuring efficiency across systems.Automate common support tasks using Python scripting and SQL automation.Manage and troubleshoot issues related to distributed data processing platforms like Apache Spark, ensuring all data jobs function correctly.Document incidents, troubleshooting steps, and solutions to create a knowledge base for internal teams.Collaborate with cross-functional teams, including Data Engineers, Analysts, and Developers, to deliver timely and effective support.Assist with deployments and system upgrades to minimize disruptions to ongoing operations.

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.

Join Incorta, a cutting-edge data analytics and business intelligence platform, revolutionizing the way businesses derive value from their transactional data. Our innovative solution drastically reduces project implementation time, enhances query performance, and provides a singular source of truth for diverse workloads including analytics and machine learning. With a remarkable 90% customer retention rate, our cloud-based service caters to organizations of all sizes, delivering unmatched agility and cost-effectiveness in the analytics landscape.As a Senior Customer Support Engineer, you will play a pivotal role in delivering exceptional post-sales support to our diverse customer base, acting as a champion for their needs. Your responsibilities will encompass resolving non-technical inquiries through various communication channels, alongside addressing technical queries related to our Electronic Support Services. You will also collaborate with fellow Support Engineers to troubleshoot intricate issues and contribute to enhancing our Knowledge Base and user community.We are on the lookout for a motivated, data-driven Support Engineer who is dedicated to delivering an outstanding customer experience and fostering team collaboration. Your contributions will help us achieve our vision of creating the best customer experience globally!

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 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.

Join our dynamic team at Blabs as an innovative and technically adept Application Support Engineer. In this pivotal role, you will ensure the smooth operation of essential business applications while enhancing system stability and providing swift resolution to issues affecting our retail operations, including but not limited to POS, ERP, Fintech, and supply chain systems.Key Responsibilities:Deliver L1 and L2 support for mission-critical retail applications, encompassing POS, ERP, inventory, Fintech, and e-commerce platforms.Investigate, troubleshoot, and resolve application-related issues to minimize operational disruptions.Collaborate with IT and business users to identify root causes and implement effective solutions.Assist in the deployment of application updates, testing, conducting UAT, and supporting go-live initiatives.Document solutions and maintain a comprehensive knowledge base to facilitate ongoing operations.Support data integration and flow across systems (e.g., POS, ERP, CRM).Conduct regular system health checks, monitor logs, and uphold system performance standards.Provide end-user training and support, creating training materials as necessary.

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.

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.

We are seeking a highly skilled Senior Application Support Engineer to provide exceptional technical support for complex application issues, ensuring seamless business operations.Deliver advanced technical support for intricate application challenges, guaranteeing quick resolutions to minimize business disruptions.Thoroughly analyze and troubleshoot both functional and technical issues within supported applications, taking full ownership until resolution.Oversee incident and service requests while ensuring compliance with established service level agreements (SLAs).Conduct root cause analysis on incidents, documenting findings to facilitate future reference and improvement.Collaborate with cross-functional teams to effectively address and resolve application-related issues, enhancing overall system performance.Create and maintain comprehensive technical documentation, including user and troubleshooting guides, to support the team and users.Regularly perform software updates, patches, and maintenance on production applications to ensure optimal functionality.Provide training and mentorship to junior team members and other staff, fostering their technical skills.Proactively monitor application performance and availability, implementing measures to ensure high uptime.Participate in on-call support rotation as necessary, responding to urgent operational issues.

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.

At Dubizzle Egypt, we pride ourselves on being the premier online marketplace for buying and selling in the region. Our mission is to enhance people's lives by streamlining transactions and uncovering lucrative opportunities for individuals and businesses alike. We are dedicated to fortifying local economies, empowering small businesses, and guiding everyone towards making informed choices that benefit themselves, the market, and the environment.As a proud member of the Dubizzle Group, we stand shoulder to shoulder with some of the most reputable classifieds brands on the market. Our collective strength encompasses five brands, attracting over 123 million monthly users who rely on our commitment to provide them with the optimal platform for their needs.The Sales Operations Analyst plays a crucial role within the Sales Operations team, focusing on boosting the sales team’s efficiency and effectiveness through data analysis, process optimization, and actionable insights that drive strategic decisions.Key Responsibilities:Data Analysis: Analyze sales data to uncover trends, opportunities, and areas for enhancement.Forecasting: Support sales forecasting and budgeting efforts to assist the organization in planning and target-setting.Reporting: Create regular reports detailing sales performance, pipeline, and other key metrics.Process Improvement: Identify and implement enhancements to sales processes and workflows.Sales Support: Ensure the sales team has the necessary tools, resources, and information to succeed.CRM Management: Oversee and maintain the Customer Relationship Management (CRM) system for accurate and current information.Training: Aid in training sales representatives on tools, processes, and best practices.Communication: Collaborate with various departments to ensure effective communication and alignment of sales strategies with overarching business goals.Sales Technology: Evaluate and implement sales technology tools to improve efficiency and effectiveness.Performance Metrics: Establish and monitor key performance indicators (KPIs) to enhance sales performance.Market Research: Conduct market research to remain informed about industry trends and competitive landscape.

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.

Role Overview talent3600 is hiring an Operations Specialist to support data annotation and machine learning projects. This remote position is based in Cairo, Cairo Governorate, Egypt. What You Will Do Ensure data annotations meet quality and accuracy standards for machine learning workflows. Support ongoing data-driven projects by maintaining high standards in annotation processes. Apply strong attention to detail and analytical thinking to help improve machine learning outcomes. Location Remote , Cairo, Cairo Governorate, Egypt