Senior Data Engineer (Middle East / Poland / Snowflake)
Poland - Warsaw
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will collaborate with client and project teams to deliver the agreed data engineering scope and project outcomes.
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.
From the employer’s posting
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
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.
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.
Tools in this posting
- dbt
- Iceberg
- Snowflake
Source — Tool mentions in context
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.
- 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.
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.
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.
Job description
CAPCO POLAND
*We are looking for a Poland based candidates willing to relocate to the Middle East for the duration of the project.
• 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-HYBRID
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Poland - Warsaw
We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. #LI-HYBRID
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 9, 2026
- Recorded sightings
- 2
- Last seen by us
- Oct 10, 2026
- Employer says posted
- Oct 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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