Senior Data Platform Engineer — Scale Databricks Pipelines

Basic-Fit; Hoofddorp; Hybrid; EUR 52,000 - 69,000; Full time

Benefits offered by this job

Learning & Development

Career Growth

Work Culture

Innovation

Salary

Perks & Benefits

Gym access

Job summary

Basic-Fit is building a central Data Platform Team to shape the data landscape used across operations, marketing, finance, and more. As a Senior Data Platform Engineer, you’ll design scalable pipelines, co-own architectural standards, and migrate legacy pipelines to a modern Databricks platform.

You will drive performance, governance, and cost optimisation while mentoring engineers and collaborating with analysts, BI developers, and data scientists. Hybrid work setup with growth opportunities.

Qualifications

• 3+ years of hands-on Databricks experience in production.
• Strong SQL, PySpark and Python, with a track record of clean, tested, maintainable code.
• Experience building and running production pipelines, both batch and streaming (e.g. Lakeflow/Delta Live Tables, Structured Streaming, Azure Data Factory).
• Experience with CI/CD and infrastructure as code (e.g. Azure DevOps, Terraform, Databricks Asset Bundles).
• Solid knowledge of data modelling, governance, security and cost optimisation on a cloud data platform.
• Experience contributing to architectural decisions or migrations, and explaining trade-offs to technical and non-technical colleagues.
• Excellent communication skills in English

Responsibilities

• Design and build scalable batch and streaming pipelines in Databricks.
• Co-own architectural decisions and help set standards for engineering, CI/CD and platform best practices.
• Drive migration of legacy pipelines to a modern Databricks platform.
• Drive performance, cost, governance and reliability across the platform.
• Evaluate and introduce new Databricks capabilities (Lakeflow Connect, Databricks Apps, dashboards) and take them from idea to production.
• Use AI and agents to automate engineering work and improve data quality.
• Share knowledge with medior and junior engineers through code reviews and pairing.

Skills

SQL

PySpark

Python

CI/CD

Data governance

Data modeling

English communication

Tools

Databricks

Delta Live Tables

Lakeflow Connect

Azure DevOps

Terraform

Job description

Basic-Fit is building a central Data Platform Team to shape the data landscape used across operations, marketing, finance, and more. As a Senior Data Platform Engineer, you’ll design scalable pipelines, co-own architectural standards, and migrate legacy pipelines to a modern Databricks platform.

You will drive performance, governance, and cost optimisation while mentoring engineers and collaborating with analysts, BI developers, and data scientists. Hybrid work setup with growth opportunities.