Senior Data Engineer

Capco

United Arab Emirates

On-site

AED 350,000 - 700,000

Full time

10 days ago
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Job summary

Capco is seeking an experienced Snowflake Data Engineer to deliver specialist data engineering services for a leading financial institution in the Middle East.

You will be responsible for robust, scalable data pipelines and curated datasets aligned with unified data platform standards, covering ingestion through to data quality monitoring and handover.

Qualifications

  • 7+ years of overall data engineering experience.
  • 3+ years hands-on with Snowflake and related data engineering technologies.
  • Experience delivering data engineering solutions in banking or regulated environments.
  • Strong knowledge of data quality, lineage, monitoring and operational support.
  • Experience creating runbooks and technical artefacts for sustainable operations.

Responsibilities

  • Design, configure and implement Snowflake data components including Tasks, Streams and Snowpipe.
  • Develop reliable ingestion pipelines from source systems into the unified data platform.
  • Create curated data models with data quality checks and reconciliation logic.
  • Produce technical documentation, runbooks and metadata lineage details.
  • Collaborate with governance, architecture and cross-functional teams on data ownership and access controls.

Tools

Snowflake
dbt
Iceberg
Snowpipe

Job description

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
Bonus Points For Experience
  • 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
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.

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

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