Senior Data Engineer: Data Platform & AI Enablement

team.blue; Gent; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

team.blue is seeking a Senior Data Engineer to develop and maintain our central data ecosystem across 60+ brands. You will build scalable data products that serve as the single source of truth for BI, analytics, and AI initiatives, enabling transformation of raw data into a sophisticated semantic layer.

You will design robust ETL/ELT pipelines, govern data with lineage and quality controls, and collaborate with Analytics, ML, and AI teams to translate complex business requirements into

Qualifications

• 7+ years of professional experience in data engineering or data management.
• Advanced degree in Computer Science, STEM, or a related quantitative field.
• Proven track record deploying high-performance data solutions that drive measurable business value.

Responsabilités

• Design and deliver scalable data products providing a unified source of truth across 60+ brands.
• Build and optimize ETL/ELT pipelines with high availability and low latency.
• Lead secure, cost-efficient data architectures and governance practices.
• Establish data modeling, orchestration, and observability best practices.
• Collaborate with Analytics, ML, and AI teams to translate business requirements into technical solutions.
• Mentor junior engineers and promote technical excellence.

Connaissances

Strategic thinker

Effective communicator

Problem solver

Formation

Masters or PhD in Computer Science or STEM

Outils

Databricks

SQL

Delta Lake

Unity Catalog

Airflow

dbt

Docker/Kubernetes

Description du poste

team.blue is seeking a Senior Data Engineer to develop and maintain our central data ecosystem across 60+ brands. You will build scalable data products that serve as the single source of truth for BI, analytics, and AI initiatives, enabling transformation of raw data into a sophisticated semantic layer.

You will design robust ETL/ELT pipelines, govern data with lineage and quality controls, and collaborate with Analytics, ML, and AI teams to translate complex business requirements into