Welcome to Group Technology, where we pride ourselves on engineering solutions and direct Nordea’s transformation by providing a holistic technological view and structured understanding of the bank, and its surrounding environment to enable the Customer Vision and the Business Strategy.
Nordea is a place where traditions meet tomorrow. We're not just a bank, we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people’s daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.
You'll join a Large Data Foundation team in a banking environment responsible for building and maintaining transformation layers on Snowflake — turning ingested raw data into clean, governed, analytics-ready datasets consumed for IRB risk Model development and Model use for risk parameters.
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Требования
8+ years in data engineering with at least 2 years hands-on Snowflake in production
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, retriesGit, Bitbucket, CI/CD — comfortable owning deployments, not just writing code
Financial services or banking domain knowledge — you need to understand what the data means, not just move it
Credit risk, finance, or regulatory reporting background is expected
Будет плюсом
Snowflake Dynamic Tables — knows when to use them vs Tasks vs stored procedures
Streams and Tasks for incremental processing patterns
Snowpipe or Snowpipe Streaming
DataStage — for working alongside legacy pipelines
Streamlit in Snowflake
SAFe or scaled agile experience
Comfortable working across the full delivery lifecycle — analysis, development, testing, deployment
Chooses the simplest Snowflake feature that solves the problem — not the most impressive one
Reads the query profile before optimizing, doesn't guess
Treats auditability, lineage, and access controls as part of the design, not an afterthought
Working with AI
Actively uses AI coding tools as part of daily work — not occasionally
Understands how LLMs work well enough to use them effectively: knows what context to provide, how to scope a prompt, and when to trust the output versus when to push back
Keeps up with the AI tooling market — aware of what's available, what's improving, and what's relevant for data engineering work
Our stack
Snowflake, Snowpark (Python/Scala), Dynamic Tables, Airflow, DataStage (legacy interop), Streamlit in Snowflake, Bitbucket, Jenkins, IntelliJ/VS Code, GitHub Copilot, Gemini Plugin, Cortex and more
Условия
Collaboration
Ownership
These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us
People are driven by many different factors
For some, it’s to take their career to the next level
For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward
A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment
Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility
Diversity and inclusion are a natural part of our daily work
We know that an inclusive workplace is a sustainable one
We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together
Every day we strive to find new ways to improve diversity and inclusion within our community e.g. we have signed the European Diversity Charters in the countries where we operate to show our commitment and engage with others to continue learning and improving
If this sounds like you, get in touch!
The recruitment process consists of the following steps
Preliminary CV selection
Phone conversation with the recruiter
Online interview with the hiring leader
Background check
We enable dreams and aspirations for a greater good
We build relationships
We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates
We learn and develop
We take pride in being experts and thinking ahead
We use our expertise to meet our customers’ needs, from the simplest to the most complex
We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges
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careerОсновная публикация · 2026-08-15
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