Snowflake Data Engineer

Nordea; Warszawa; On-site; PLN 240,000 - 420,000; Full time

Benefits offered by this job

Hybrid work model

Diversity and inclusion culture

Job summary

Nordea’s Large Data Foundation within Group Technology seeks a senior Data Engineer to design and maintain Snowflake transformation layers for risk model datasets. You will work on SQL procedures, Snowpark, and Airflow DAGs, ensuring governance, performance, and scalable data pipelines.

You will analyze requirements, optimize queries, contribute to schema design, and own CI/CD deployments. Experience in finance, strong SQL, and Python/Scala are essential for this role.

Qualifications

• 8+ years in data engineering, 2+ years with Snowflake in production.
• Strong SQL skills (window functions, QUALIFY, MERGE, recursive CTEs, FLATTEN/LATERAL).
• Experience with Snowpark (Python or Scala).
• Understanding of Snowflake execution model (micro-partitions, clustering, pruning, query plan).
• Proficiency in Python or Scala for pipeline logic.
• Airflow experience (DAGs, sensors, retries).
• Comfort with Git, Bitbucket, CI/CD deployments.
• Knowledge of financial services or banking, especially credit risk, finance, or regulatory reporting.

Responsibilities

• Design and build transformation jobs in Snowflake (SQL stored procedures, Snowpark, Dynamic Tables).
• Analyze business and data requirements before coding.
• Translate 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 deliverables (branching, deployments, promotion via Bitbucket and Jenkins).
• Write and maintain Airflow DAGs that orchestrate Snowflake workloads.
• Contribute to the data exchange layer (Database Roles, Secure Views, cross‑account sharing).
• Review code, pair with team members, contribute to team standards.

Skills

Data engineering

Snowflake production

Advanced SQL

Python/Scala

Airflow

CI/CD

Git/Bitbucket/Jenkins

Financial services knowledge

Tools

Snowflake

Snowpark

Airflow

Git

Jenkins

Job description

Overview

Join the Large Data Foundation team in Group Technology at Nordea. We build and maintain transformation layers on Snowflake to produce clean, governed, analytics‑ready datasets for risk model development and parameter use.

Responsibilities

• Design and build transformation jobs in Snowflake (SQL stored procedures, Snowpark, Dynamic Tables).
• Analyze business and data requirements before coding.
• Translate 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 deliverables (branching, deployments, promotion via Bitbucket and Jenkins).
• Write and maintain Airflow DAGs that orchestrate Snowflake workloads.
• Contribute to the data exchange layer (Database Roles, Secure Views, cross‑account sharing).
• Review code, pair with team members, contribute to team standards.

Qualifications

• 8+ years in data engineering, 2+ years with Snowflake in production.
• Strong SQL (window functions, QUALIFY, MERGE, recursive CTEs, FLATTEN/LATERAL, performance tuning).
• Experience with Snowpark (Python or Scala).
• Understanding of Snowflake execution model (micro‑partitions, clustering, pruning, query plan).
• Proficiency in Python or Scala for pipeline logic.
• Airflow experience (DAGs, sensors, retries).
• Comfort with Git, Bitbucket, CI/CD deployments.
• Knowledge of financial services or banking, especially credit risk, finance, or regulatory reporting.

Nice to Have

• Snowflake Dynamic Tables, Streams, Tasks, Snowpipe.
• Experience with DataStage, Streamlit in Snowflake.
• Agile (SAFe or other scaled agile) experience.

Mindset

• Work across the full delivery lifecycle: analysis, development, testing, deployment.
• Choose the simplest Snowflake feature that solves the problem.
• Optimize based on query profiles, not guessing.
• Include auditability, lineage, and access controls in design.

Working with AI

• Use AI coding tools daily.
• Understand LLMs to use effectively and know when to trust or revise output.
• Stay updated on AI tooling market and relevance to data engineering.

Benefits & Culture

Nordea offers a hybrid work model that balances collaboration and flexibility. The organization values collaboration, ownership, passion, and courage, fostering an environment where employees can grow and take their careers to the next level. Diversity and inclusion are core to our culture, and we are committed to creating an inclusive workplace where all individuals can thrive.