Senior Data Engineer - Data Platform & Governance Lead

team.blue; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

team.blue is seeking a Senior Data Engineer to develop and maintain a central data ecosystem, turning raw data into a semantic layer that powers BI and AI initiatives across 60+ sub-brands. You will lead data product design, build robust pipelines, and guide data architecture and governance.

Join a multi-brand environment with a strong emphasis on scalable data platforms, observability, and collaboration with analytics, ML, and AI teams to drive business value.

Qualifications

• 7+ years of professional experience in data engineering or data management, preferably within a high-growth or multi-brand industry.
• Masters or PhD in Computer Science, STEM, or a related quantitative field.
• A demonstrable history of deploying stable, high-performance data solutions that drive measurable business value.

Responsibilities

• Data Product Innovation: Design and deliver high-quality, scalable data products that provide a unified source of truth across a complex ecosystem of 60+ global sub-brands.
• Pipeline Engineering: Build and optimize robust ETL/ELT pipelines to ingest and transform massive volumes of structured and unstructured data, ensuring high availability and low latency for downstream consumers.
• Architectural Leadership: Lead the design of secure, cost-efficient data architectures. Establish and enforce best practices in data modeling, orchestration, and observability.
• Governance & Integrity: Implement rigorous data governance frameworks, including lineage tracking, metadata management, and quality controls to ensure a reliable semantic layer for AI and ML use cases.
• Cross-Functional Collaboration: Act as a strategic sparring partner for Analytics, ML, and AI teams, translating complex business requirements into high-performing technical solutions.
• Platform Optimization: Manage and tune data platforms for peak performance, focusing on indexing strategies, query optimization, and schema evolution.
• Mentorship: Elevate the collective expertise of the engineering team by mentoring junior members and fostering a culture of technical excellence.

Skills

Databricks (PySpark, Delta Lake, Unity

Education

Masters or PhD in Computer Science/STEM

7+ years professional data engineering experience

Tools

Airflow

dbt

Docker

Kubernetes

PostgreSQL

SQL Server

Oracle

Job description

team.blue is seeking a Senior Data Engineer to develop and maintain a central data ecosystem, turning raw data into a semantic layer that powers BI and AI initiatives across 60+ sub-brands. You will lead data product design, build robust pipelines, and guide data architecture and governance.

Join a multi-brand environment with a strong emphasis on scalable data platforms, observability, and collaboration with analytics, ML, and AI teams to drive business value.