Data Engineering Manager

Bluebird

Hungary

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

Apply

Vacancy posted 11 days ago

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