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## About ITGOALSITGoals is an Egypt-based enterprise software and technology delivery company with 17+ years of enterprise delivery experience. We provide dedicated engineering teams, ERP and SAP services, product engineering, software development, and outsourcing / nearshore delivery for organizations across the GCC, Europe, the United States, and the wider region. Our financial-services work includes secure platforms and technology delivery supporting banking, payments, digital channels, integration, data, and financial operations.## Job TitleData Engineer## LocationCairo, Egypt (hybrid/work-from-office supported; international collaboration as needed)## Years of Experience5+ years in data engineering or related roles## Job DescriptionAs a Data Engineer at ITGoals, you will design, build, and maintain reliable data pipelines and data assets that enable analytics, operational reporting, AI use cases, and data-driven decision making within an enterprise financial-services environment. You will collaborate with analysts, AI developers, application teams, and governance teams to ensure data quality, lineage, and accessibility across regulated environments.## Key Responsibilities* Design, build, test, and maintain batch and near-real-time data pipelines for ingestion, transformation, enrichment, and delivery of trusted data.* Develop ETL / ELT processes that move data reliably between source systems, data platforms, analytical stores, and consuming applications.* Write efficient SQL and Python code for data transformation, validation, automation, reconciliation, and operational support.* Create reusable data models and datasets that are understandable, documented, and suitable for reporting, analytics, and AI workloads.* Implement data-quality controls covering completeness, validity, consistency, duplication, reconciliation, and exception handling.* Work with structured and semi-structured data from enterprise applications, APIs, files, databases, and integration platforms.* Support lineage, metadata, documentation, access-control, and governance requirements appropriate for regulated data environments.* Optimize pipeline performance, scheduling, reliability, and resource usage while maintaining clear monitoring and alerting.* Collaborate with analysts, AI developers, application teams, architects, security, and infrastructure teams to deliver end-to-end data solutions.* Participate in CI/CD, code review, testing, environment promotion, and production-support processes for data workloads.* Troubleshoot failed jobs, data inconsistencies, performance bottlenecks, and upstream / downstream dependency issues.## Required Experience* Hands-on experience engineering data pipelines and transforming data in enterprise or production environments.* Strong practical experience with SQL and at least one general-purpose data engineering language, preferably Python.* Experience working with relational databases, data warehouses / lakehouse concepts, and scheduled data-processing workloads.* Understanding of data quality, reconciliation, governance, and operational support.## Required Skills* Advanced SQL* Python for data engineering* ETL / ELT concepts and pipeline design* Relational data modelling* Data quality and reconciliation* APIs / files / database ingestion patterns* Git and collaborative development practices* Monitoring, troubleshooting, and production support* Documentation and data-governance awareness## Banking / Fintech & Nice to Have* Banking, fintech, payments, risk, finance, customer analytics, or other regulated financial-services data experience is a strong advantage.* Experience with cloud data platforms, Spark, Kafka, Airflow, dbt, or comparable technologies.* Data warehouse, lakehouse, or data-lake implementation experience.* Experience preparing data for machine-learning or AI workloads.* Understanding of personally identifiable information, access controls, data retention, and audit requirements.## What Success Looks Like* Treats data reliability and traceability as engineering requirements, not afterthoughts.* Can explain where data came from, how it changed, and how quality is validated.* Builds pipelines that are maintainable, observable, and supportable by a wider team.## ITGOALS Offers* Enterprise-scale assignments where engineering quality, security, resilience, and delivery discipline matter.* Structured ITGoals recruitment, onboarding, delivery governance, and clear professional ownership throughout the engagement.* Collaboration with experienced engineers, architects, QA professionals, delivery leaders, and business stakeholders.* Exposure to complex digital-transformation environments and the opportunity to deepen banking, fintech, payments, and regulated-enterprise experience.* Opportunities to contribute to long-term enterprise delivery programs based on performance, business demand, and role fit.## Application InstructionsShare an updated CV with the ITGoals recruitment team, highlighting the experience most relevant to this role, particularly enterprise delivery, banking / fintech exposure where applicable, and the technologies listed above. Shortlisted candidates will be contacted for the next stage of the recruitment process.
