Data Engineer

📋 Description

• Deliver Flex-critical data: build pipelines and datasets for demand/availability signals.
• Evolve the data platform: drive improvements in architecture, tooling, and operating practices.
• Own data quality and trust: implement testing, lineage, and guardrails for trustworthy outputs.
• Enable self-serve analytics: produce well-modelled datasets and documentation for others.
• Partner on data science work: collaborate on data readiness for modeling and feature pipelines.
• Make high-leverage tech choices: justify changes to tools and processes to maximize impact.

🎯 Requirements

• Strong data engineering background with production pipelines.
• Pragmatic platform mindset with incremental improvements.
• Ownership and proactivity in a small team with autonomy.
• Solid SQL and data modeling for analytics.
• Reliability focus: monitoring, data quality, testing.
• Familiarity with modern data stack: dbt, Snowflake, Airbyte.

🎁 Benefits

• Remote-first in Europe with Oslo office option.
• Three annual off-sites to connect the team.
• Competitive compensation with attractive employee option program.
• Office/co-working option in Oslo or on-demand access.
• Flexible, human-first culture.
• Stipend for setting up your home office.