Senior Data Engineer
HybridOslo, Oslo, Norway
Job Summary
Design and implement scalable data pipelines that power analytics and business decision-making while improving ingestion logic and processing frameworks for performance. Own the resolution of complex data quality and system-level issues by tracing root causes before applying fixes. Contribute to architectural discussions to shape the future of the data platform and drive down high-complexity technical debt. Ensure documentation is clear enough for any team member to contribute and help onboard and mentor newer engineers. On a typical day, review unexpected pipeline behaviors to trace schema mismatches and propose hardening fixes, then align with analytics teams on new data source modeling.
Required Qualifications
- proven track record in data engineering
- experience in a high-growth SaaS or tech environment
- experience building systems that needed to scale
- clean, maintainable code
- comfortable with ambiguity
- ability to define scope when it isn't fully defined
- ability to bring colleagues with you when defining scope
- ability to work across teams
- ability to translate technical complexity into clear decisions for non-engineering stakeholders
- experience embedding AI tools into how you work
- ability to deliver direct, kind, and timely feedback
- ability to share knowledge openly
- ability to celebrate each other's wins
- ability to put collective success ahead of individual recognition
- ability to measure success by impact rather than effort
- ability to say no to distractions
- ability to stay focused on the highest-value work at pace
Desired Qualifications
- experience in a high-growth SaaS or tech environment (ideally)
- experience building systems that needed to scale (ideally)
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.