
Snowflake Data Engineer
Senior Snowflake Data Engineer role in Nordic bank with hybrid work model.
Main responsibilities in this role: Design and build transformation jobs in Snowflake — SQL stored procedures, Snowpark (Python/Scala), Dynamic Tables. Engage in requirement analysis — understand the business and data context before writing code, not after. Translate business and analytical requirements into clean, maintainable transformation logic. Apply Snowflake best practices: clustering, micro-partition awareness, query optimization, warehouse rightsizing. Contribute to data modeling decisions — schema design, naming conventions, partitioning strategies. Own CI/CD for your deliverables — branching, deployments, environment promotion via Bitbucket and Jenkins. Write and maintain Airflow DAGs that orchestrate Snowflake transformation workloads. Contribute to our data exchange layer (Database Roles, Secure Views, cross-account sharing). Review code, pair with team members, contribute to team standards. Who you are: Your background and skills include: Must have: 8+ years in data engineering with at least 2 years hands-on Snowflake in production. Strong SQL — window functions, QUALIFY, MERGE, recursive CTEs, FLATTEN/LATERAL for semi-structured data, performance tuning. Snowpark (Python or Scala) — building transformation logic, understanding when it\'s preferable to pure SQL. Understanding of Snowflake execution model: micro-partitions, clustering, pruning, query plan reading. Python or Scala for pipeline logic and tooling. Airflow — authoring DAGs, sensors, retries. Git, Bitbucket, CI/CD — confident in deployments. Financial services or banking domain knowledge. Nice to have: Snowflake Dynamic Tables, Streams and Tasks, Snowpipe, DataStage, Streamlit in Snowflake, SAFe or scaled agile. Mindset: Available to handle full delivery lifecycle, simple Snowflake features that solve problems, auditability and access controls in design. Working with AI: experience with AI coding tools and prompt engineering. Our stack: Snowflake, Snowpark, Dynamic Tables, Airflow, DataStage, Streamlit in Snowflake, Bitbucket, Jenkins, IntelliJ/VS Code, GitHub Copilot. What we offer: collaboration, ownership, growth, diversity, hybrid work, inclusive culture. Next steps: Submit no later than 30/09/2026. Poland/Finland notes about privacy and security clearances. Department: IT/Technology.
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Estimated from 3,842 comparable listings
- Design and build transformation jobs in Snowflake (SQL stored procedures, Snowpark, Dynamic Tables)
- Engage in requirement analysis to understand business and data context
- Translate requirements into maintainable transformation logic
- Apply Snowflake best practices (clustering, micro-partitions, query optimization)
- Contribute to data modeling decisions
- Own CI/CD for deliverables and environment promotions
- Write and maintain Airflow DAGs
- Contribute to data exchange layer (secure views, cross-account sharing)
- Review code and uphold team standards
- 8+ years in data engineering
- 2+ years hands-on Snowflake in production
- Strong SQL (window functions, QUALIFY, MERGE, recursive CTEs)
- Snowpark (Python or Scala)
- Understanding of Snowflake execution model (micro-partitions, clustering)
- Python or Scala for pipeline logic
- Airflow (DAGs, sensors)
- Git/Bitbucket/CI/CD deployments
- Financial services or banking domain knowledge
- CV screening
- Phone interview
- Online interview
- Background check
| Location | Active listings |
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| Helsinki, Finland | 294 |
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| Role level | Active listings |
|---|---|
| Mid-Level | 222 |
| Senior | 109 |
| Executive | 11 |
| Manager | 7 |
| Intern | 4 |
| Expert | 1 |
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