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

We are looking for a manager to lead complex, multi-disciplinary Data Engineering teams to deliver high-impact platform and product outcomes.

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.

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