Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("In Helsinki, Finland: Data Engineer"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€3,000–€7,000). The listed pay band (€325–€428) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 15 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Engineer | €3,000/per month | €5,500/per month | €7,800/per month |
| In Helsinki, Finland: Data Engineer | €3,000/per month | €5,500/per month | €7,000/per month |
| Pay in our data — not quoted in ad (Senior) | €325/per month | €377/per month | €428/per month |
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. We are looking for a Senior Data Engineer to join the High Risk Change and Development team to take full ownership of building data solutions end-to-end, from requirement to robust implementation. The employment contract offered for this position is a permanent full time employment agreement. 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.
Job Details
Responsibilities
- Understand the business domain to effectively understand and build data flows and models supporting data needs and requirements
- End-to-end ownership of the work from requirement to design, from development to test and release readiness
- Collaborate closely with colleagues in and outside of the team
- Set a high standard for what you deliver, prioritizing robustness, stability and maintainability
- Stay current with AI assisted development and adopt AI to increase efficiency, maintainability, and reliability
Requirements
- Degree in Computer Science, Computer Engineering, information technology, data engineering or relevant technical field
- Strong experience in data engineering and data warehousing, building large-scale data solutions
- Strong SQL and Python skills
- Experience with Oracle databases and DataStage ETL
- Experience with modern data platforms (Snowflake, dbt, Airflow)
- Proficient in data modelling
- Experience with enterprise API integration
- Solid engineering practices (git, CI/CD, automated testing)
- A growth mindset and willingness to learn
Skills & Technologies
Education Level
Bachelor
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