Senior/Lead Data & Analytics Engineer to Nordea Life & Pension
Nordea Näytä kaikki työpaikat
- Helsinki
- Vakituinen
- Täyspäiväinen
- Analytics team (2 analysts focused on BI and reporting)
- Data engineering team (1 on-site and 4 off-shore data engineers)
- Design and implement QlikSense data models, visualizations, and development standards
- Own data quality, integrity, and validation - investigate issues and perform root-cause analysis
- Make architectural and implementation decisions in collaboration with the database application owner and application provider
- Coach team members and ensure consultants follow best practices
- Manage intake and prioritization of business needs across Analytics and Data Engineering teams
- Ensure business requests and bug fixes flow between teams and get actioned - keep stakeholders informed
- Advocate for data-driven decisions and bring data expertise to cross-functional discussions
- Participate in PI planning and sprint activities - focused on execution, not ceremony
- Strong hands-on experience as a Data Engineer, Analytics Engineer, or BI Engineer
- Deep expertise with QlikSense (data modeling, scripting, visualization best practices) or similar BI platforms
- Proficient with SQL, Python, and DBT (or similar modern data transformation tools)
- Solid understanding of data pipelines, ETL/ELT patterns, and data modeling
- Strong focus on data quality, correctness, and integrity - you validate, reconcile, and investigate issues
- Experience working across business and IT, translating needs into technical solutions
- Conversational skills in Finnish and fluent in English
- Your education background: Master's in a related field
- Proven track record of making technical decisions and owning them - not just facilitating
- Ability to advocate for proper data architecture and bring data expertise to strategic discussions
- Comfortable mentoring and providing technical direction to team members and consultants
- Vision for modern data practices - experience with data platform modernization, cloud data warehouses, or modern analytics stacks
- Familiarity with modern data orchestration tools
- Knowledge of data mesh, data contracts, or modern data governance approaches
- Experience with real-time/streaming data patterns
- Familiarity with agile ways of working (SAFe) in data contexts
- Background in insurance or financial services domain
- Understanding of data governance, compliance (GDPR), and regulated environments.
- Lunch (on top of salary), sport & culture benefit
- Banking benefits, e.g. personnel mortgage margin and free daily banking services
- Modern office above metro station and close to train station
- Training and education possibilities
- Collaborative, open culture where leadership walks the talk and your voice genuinely influences decisions
- A team that is genuinely curious, takes pride in doing things well, shares knowledge openly, and celebrates improvements together