Snowflake Expert Engineer

Nordea; Województwo pomorskie; On-site; PLN 169,419 - 254,129; Full time

Benefits offered by this job

Career advancement opportunities

Inclusive culture

Mentoring and training

Job summary

Nordea is seeking a senior data engineer specializing in Snowflake, focusing on performance and governance. The role requires over 10 years in data engineering, including Snowflake at production scale, and involves responsibilities from setting technical standards to mentoring mid-level engineers.

We offer a collaborative culture and opportunities for career growth in one of the largest Nordic banks. Candidates must include processing permission for personal data in their CV.

Qualifications

• Over 10 years in data engineering, with at least 3 years in Snowflake at production scale.
• Advanced SQL skills for complex queries and data handling.
• Experience with Dynamic Tables and CI/CD ownership.

Responsibilities

• Set technical standards for Snowflake transformations.
• Conduct performance work such as query profiling and clustering design.
• Mentor mid-level engineers and run design reviews.

Skills

Data engineering

Snowflake

SQL mastery

Governance

CI/CD ownership

Python or Scala

Education

SnowPro Core certification

SnowPro Advanced Data Engineer certification

Tools

Airflow

Terraform

Bitbucket

Jenkins

Job description

Job Overview

Group Technology is a key part of Nordea’s transformation, delivering holistic technological solutions and driving the Customer Vision and Business Strategy. This depth role focuses on Snowflake, setting transformation patterns, performance standards, governance, and platform decisions.

Main Responsibilities

• Set technical standards for Snowflake transformations – choosing Dynamic Tables, Tasks, stored procedures, or Snowpark and defining trade‑offs
• Deep dive into data to develop technical solutions aligned with business requirements
• Contribute to and review requirement analysis, bridging domain knowledge and technical implementation
• Conduct performance work: query profiling, micro‑partition analysis, clustering design, warehouse rightsizing, spill elimination
• Own data modeling decisions – schema design, partitioning strategy, incremental patterns, SCD approaches
• Lead governance: RBAC hierarchy, database roles, masking policies, row access policies, tag‑based governance
• Design and evolve data sharing architecture (Secure Views, Reader Accounts, cross‑account sharing)
• Drive and own CI/CD standards for Snowflake using schemachange, Terraform, or equivalents integrated with Bitbucket/Jenkins
• Mentor mid‑level engineers, run design reviews, and facilitate knowledge sessions
• Partner with the team lead on PI planning, roadmap, and technical decisions

Must Have

• 10+ years in data engineering, with at least 3 years in Snowflake at production scale
• Deep understanding of data analysis, design, and leading technical solutions
• SnowPro Core certified; SnowPro Advanced Data Engineer strongly preferred
• Advanced SQL mastery – query plan interpretation, QUALIFY, MATCH_RECOGNIZE, recursive CTEs, VARIANT/OBJECT/ARRAY handling, window functions, lateral joins
• Proficiency in Snowpark (Python or Scala) and knowledge of when to use it versus SQL
• Strong grasp of Snowflake internals: micro‑partitions, clustering, pruning, result caching, warehouse credit consumption
• Experience with Dynamic Tables, Streams, Tasks in production and clear articulation of appropriate use cases
• Hands‑on governance: RBAC, database roles, masking policies, row access policies
• Data sharing expertise: Secure Data Sharing, Reader Accounts, cross‑region/cloud replication
• Ownership of CI/CD for Snowflake – schemachange, Terraform, or equivalent
• Financial services knowledge (credit risk, finance, or regulatory reporting) that informs architectural decisions

Nice to Have

• Credit risk functional knowledge
• Experience with Airflow in a Snowflake‑centric environment
• Legacy interop with DataStage
• Knowledge of Snowflake Cortex and Snowpipe Streaming

Mindset

• Comfortable across the full delivery lifecycle – analysis, architecture, development, CI/CD, deployment
• Treats the platform as a product, balancing reliability, cost, and developer experience
• Documents decisions – architecture records, naming conventions, runbooks

Working with AI

• Uses AI tooling confidently and leads the team on effective usage
• Understands context engineering and maintains repo‑level files that enable quality AI output
• Tracks AI tooling developments and offers informed opinions on adoption
• Recognises architectural flaws in AI‑generated code and explains corrective actions

What We Offer

Collaboration, ownership, passion, and courage guide our work, fostering performance and growth across one of the largest Nordic banks. We offer opportunities to advance your career, innovate within your expertise, and thrive in a diverse and inclusive culture.

EEO Statement

We reserve the right to reply only to selected applications.

Only for candidates in Finland

A security clearance will be performed for the person selected for this position.

Only for candidates in Poland

Include permission for processing personal data in your CV as follows: In accordance with art. 6 (1) a and b... Detailed information regarding processing of your personal data can be found at https://www.nordea.com/en/doc/nordea-privacy-policy-for-applicants.pdf