Senior Data Platform Engineer — Global Data & AI Backbone

Team.Blue Global

Toscana

On-site

EUR 95,000 - 130,000

Full time

11 days ago

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Job summary

team.blue is seeking a Senior Data Platform Engineer to own and evolve our central data ecosystem across 60+ subbrands. You will build, scale and govern high-value data products powering business intelligence, operational efficiency, and AI initiatives.

Lead Databricks, Airflow, dbt and AWS platforms; design scalable data architectures; implement governance and metadata; collaborate with Analytics, ML and AI teams to translate business needs into robust tech solutions.

Qualifications

  • 7+ years of professional data engineering or data management experience.
  • Advanced degree in Computer Science, STEM or related field.
  • Proven deployment of high-performance data solutions delivering business value.

Responsibilities

  • Own and optimize our data infrastructure including Databricks, Airflow, dbt, Gitlab & AWS.
  • Design and deliver scalable data products providing a unified source of truth.
  • Build robust ETL/ELT pipelines with high availability and low latency.
  • Lead secure, cost-efficient data architectures and governance practices.
  • Collaborate with Analytics, ML, and AI teams to translate requirements into solutions.
  • Drive platform optimization around indexing, query performance, and schema evolution.
  • Mentor junior engineers and promote technical excellence.

Skills

Databricks
PySpark
Delta Lake
Unity Catalog
SQL

Education

Masters or PhD in CS/STEM

Tools

Airflow
dbt
Docker
Kubernetes

Job description

team.blue is seeking a Senior Data Platform Engineer to own and evolve our central data ecosystem across 60+ subbrands. You will build, scale and govern high-value data products powering business intelligence, operational efficiency, and AI initiatives.

Lead Databricks, Airflow, dbt and AWS platforms; design scalable data architectures; implement governance and metadata; collaborate with Analytics, ML and AI teams to translate business needs into robust tech solutions.

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