We are seeking an experienced Manager, Data Engineering to lead a team building and scaling our data infrastructure. You will combine hands-on technical expertise with strong leadership skills, managing both local and distributed teams while maintaining direct involvement in architecture decisions and technical implementation.
Key Responsibilities
- Lead and mentor a team of data engineers, fostering technical growth and accountability
- Design and oversee data pipeline architecture from ingestion through delivery, ensuring scalability and reliability
- Own data quality, cleaning, ETL processes, and delivery mechanisms serving analytics and ML/AI operations
- Collaborate with data science and MLOps teams to support model development and production deployment
- Stay current with data engineering best practices and emerging technologies; drive technical decision-making
Required Experience
- 4+ years in a team lead, principal engineer, or management role leading engineers (local and/or remote teams)
- 5+ years as a hands-on data engineer with recent, demonstrated experience in modern tech stacks
- Direct experience in change management, scaling teams, remote / hybrid / onsite team coordination
- Significant production experience with the Databricks Lakehouse on AWS — Unity Catalog, Delta Live Tables, Databricks SQL, and Databricks Workflows. Working knowledge of supporting AWS services (S3, IAM)
- Deep expertise in data pipeline design, ingestion, transformation, quality assurance, and delivery
- Professional experience in data-driven organizations with insights and ML/AI as core business functions
- Hands-on FinOps — owning compute spend, building cost visibility, and driving cost-optimization initiatives
- Working knowledge of data science, ML/AI operations, and model deployment pipelines
Preferred Qualifications
- Production AI/ML systems experience where data engineering directly enabled product features
- Experience managing teams across multiple time zones or geographic locations
- Familiarity with data governance, compliance, and metadata management at scale
- Track record of building and scaling data platforms that support analytics and operational intelligence
What we offer
- Cafeteria package and Medicover private healthcare
- Hybrid working model
- Opportunity to shape and grow a newly building team
- International environment and collaboration across global teams
- Close collaboration with a recognized US-based AI expert
- Modern, AI-focused technology environment
- High level of ownership and the opportunity to make a real impact on the data platform and engineering organization