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Tech Stack
Tools & technologiesAirflowBigQueryPython
About the role
Key responsibilities & impact- Grow your team: one-on-ones, goal setting, and skills development.
- Recruit and structure the team to reach the target of one data lead per business unit.
- Project management & business-facing role: turn business needs into actionable data projects.
- Help optimize paid acquisition, lead scoring, and management of commercial performance.
- Hands-on involvement in critical projects: dbt/BigQuery modeling, ML lead scoring, Airflow orchestration.
- Documentation, cataloging and traceability: make data discoverable for everyone, with data quality monitoring.
Requirements
What you’ll need- Around 5–6 years of experience building data stacks in production.
- Strong technical understanding: able to challenge and scope dbt/BigQuery, Python/Airflow, ML and LLMs.
- Communication and simplification skills: able to make data understandable for non-technical audiences.
- Strong awareness of security and compliance (GDPR, personal data); comfortable liaising with a Data Protection Officer (DPO).
- Engineering degree or equivalent.
Benefits
Comp & perks- Swile meal card (50% employer contribution)
- Gymlib access
- Regular events: afterworks, team lunches, monthly social evenings, sports activities, etc.
- Partial remote work (hybrid)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
dbtBigQueryPythonAirflowmachine learninglead scoringdata modelingdata quality monitoringdata stack buildingproject management
Soft Skills
communicationgoal settingskills developmentteam structuringsimplificationinterpersonal skillscollaborationproblem-solvingleadershipdocumentation
Certifications
engineering degree
