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Senior Data Engineer (Middle East / Poland / Snowflake)

Middle East

CAPCO POLAND 

*We are looking for a Poland based candidates willing to relocate to the Middle East for the duration of the project.

At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.
Our secret?
A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first.
We’re passionate about growth - both for our clients and ourselves - and that means attracting the very best talent to join us on this exciting journey.
We’re proud to be:
• Trailblazers in banking, payments, capital markets, wealth, and asset management
• Champions of an agile, nimble, and innovative work environment
• Dedicated to building a team of top-notch professionals who share our drive and vision

Build robust, enterprise-scale data solutions at the heart of a major financial services transformation.

The Role

We are looking for an experienced Snowflake Data Engineer to provide specialist data engineering services for a leading financial institution in the Middle East.

You will be responsible for delivering robust, supportable data pipelines and curated datasets aligned with unified data platform standards. The engagement covers the full data lifecycle, from ingestion and transformation through to data quality, monitoring, documentation and operational handover.

The engagement is expected to run for one year and requires relocation to the Middle East for its duration. You will collaborate with client and project teams to deliver the agreed data engineering scope and project outcomes.

What You’ll Do

  • Design, configure and implement Snowflake data engineering components, including Tasks, Streams, Snowpipe Streaming, dbt Projects and Iceberg tables.
  • Deliver source-to-target mappings and reliable ingestion pipelines from agreed source systems into the unified data platform.
  • Develop curated data models for analytical use cases, incorporating data quality checks, reconciliation logic and monitoring.
  • Create and maintain technical documentation and runbooks covering data lineage, dependencies, operational procedures and ongoing support.
  • Coordinate activities with governance and architecture counterparts on ownership, classification, access controls and metadata, while supporting deployment, stabilization, performance tuning and knowledge transfer.

What We’re Looking For

  • 7+ years of overall data engineering experience, including at least 3+ years of relevant hands-on experience with Snowflake and associated data engineering technologies.
  • Experience delivering data engineering solutions within banking, financial services or other highly regulated environments.
  • Practical experience with Snowflake Tasks, Streams, Snowpipe Streaming, dbt, Iceberg tables and cloud-based data platforms.
  • Demonstrated experience designing and delivering enterprise-scale data pipelines, transformations and curated datasets.
  • In-depth understanding of data quality, reconciliation, monitoring, performance and operational supportability within production data environments.
  • A structured approach to technical documentation, including producing clear runbooks and technical artefacts that enable sustainable operations and effective knowledge transfer.

Bonus Points For

  • Experience providing services across enterprise-scale unified data platforms and complex source-system landscapes.
  • Familiarity with data governance principles, including data ownership, classification, metadata, lineage and access controls.
  • Experience supporting production deployment, stabilization and performance-tuning activities.
  • Experience collaborating with architecture, governance and cross-functional engineering teams on large transformation programmes.

ONLINE RECRUITMENT PROCESS STEPS

  • Screening call with the Recruiter
  • Hiring Manager Technical Interview
  • Client Interview
  • Feedback/Offer

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.

#LI-ONSITE

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