We are looking for a manager to lead complex, multi-disciplinary Data Engineering teams to deliver high-impact platform and product outcomes.
Requirements
- Bachelor's degree in information technology/software engineering or equivalent education and experience.
- 10+ years across data engineering/analytics/AI/software engineering, with 5+ years leading large teams and complex initiatives.
- Proven experience leading enterprise data platform programs and migrations between major DWH technologies (e.g., Oracle, Teradata, SQL Server) and modern cloud platforms (AWS, Snowflake, Databricks).
- Up to date with technology advancements and market trends in data platforms, analytics engineering, AI/ML tooling, and cloud services.
- Understanding of: Data modeling (dimensional, data vault), orchestration (e.g., Airflow, Control M), CI/CD for data, data quality, and observability.
Benefits
- Flexible work arrangements and a hybrid work model
- Possibility to purchase up to 5 extra days off per year
- Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
- Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
- Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance)
- Retirement Plan