Data Engineering Team Lead (Databricks) - (Hybrid role in the city center + offering €125,000 to €130,000 + benefits)
Our client is building a new data engineering team and is looking for a Databricks Team Lead to guide delivery, support engineers, and work closely with stakeholders. This is an enablement and leadership role, not a pure hands‑on coding position, though technical depth is essential.
You will lead the design and delivery of data solutions on Databricks, help teams work better together, and ensure high standards across data platforms. This role suits someone who enjoys mentoring, decision‑making, and shaping how data engineering work gets done.
What you will do
Lead and support a team of data engineers across projects
Own design decisions and oversee delivery on Databricks platforms
Work closely with stakeholders to understand needs and translate them into clear solutions
Set best practices around performance, security, and scalability
Guide teams through planning, delivery, and continuous improvement
Review designs and approaches rather than coding day to day
Support cloud‑based data platforms, mainly on AWS
Must have
8+ years of strong background in data engineering fundamentals
3+ years of strong hands‑on experience with Databricks
Experience leading or enabling data engineering teams
Strong design and delivery experience on large data platforms
Comfort working with stakeholders and senior teams
Cloud experience, ideally AWS, Azure with a willingness to learn
Good understanding of Spark, SQL, and data modelling
Nice to have
Experience in financial services or regulated environments
Exposure to AI or ML use cases
Experience with streaming or real‑time data
Knowledge of data governance practices
This role offers the chance to shape a growing data engineering function, lead talented engineers, and focus on high-impact delivery rather than day‑to‑day coding.
If you enjoy leadership, Databricks, and working at the intersection of technology and people, this could be a great next step.
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