We are seeking an experienced Manager, Data Engineering to lead a team building and scaling our Client's 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.
Pozíció leírása / Job description- 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
- 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 costoptimization 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 Value
- Technical depth combined with leadership ability—you build systems and develop people
- Proven problem-solving and architecture design skills in complex, data-heavy environments
- Pragmatism over perfection; ability to balance technical excellence with business timelines
- Collaboration across teams and comfort partnering with analytics, data science, and engineering organizations
- Stakeholder fluency with SRE, DBA (SI: work with them also), BI/Analytics, Data Science and Product teams
- AI-leveraged delivery comfortable with the team using Claude Code, Cursor, or Databricks Genie to accelerate pipeline development
- A unique professional challenge to taking part in building up a completely new R&D strategic hub from the ground up for a stable, market-leading enterprise.
- Manager-level benefits including an annual target bonus.
- Additional perks: a cafeteria allowance, private health insurance package
- Flexibility: Hybrid working model requiring 3 days of office presence and offering 2 days of home office.
