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Open nowPosted 57 days ago

Data Engineer

ITGOALS21 open roles

Where
New Cairo, Egypt
Work mode
Hybrid
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Your applicationOpen nowData EngineerITGOALS · New Cairo, Egypt

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Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 57 days ago

The posting

## About ITGOALS ITGoals 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 Title Data Engineer

## Location Cairo, Egypt (hybrid/work-from-office supported; international collaboration as needed)

## Years of Experience 5+ years in data engineering or related roles

## Job Description As 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 Instructions Share 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.

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