Databricks Data Engineer — Build Scalable Lakehouse Pipelines

xebiacareers

Amsterdam

On-site

EUR 70,000 - 100,000

Full time

4 days ago
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Benefits offered by this job

Lease car
Mobility budget
MacBook
Phone
Unlimited book budget
2.5K education budget
Sandbox environments in GCP/AWS/Azure
Pension plan
Career growth support
Free lunches & snacks

Job summary

Xebia Databricks Division (XDD) in the Netherlands is looking for a Data Engineer to build, maintain, and scale data pipelines on Databricks. You’ll design robust production systems, ensure security and reliability, and work closely with healthcare and banking clients on long-term projects.

You’ll collaborate with top data professionals, contribute to open source, and grow your expertise in a dynamic, collaborative environment that values knowledge sharing, ownership, and customer impact.

Qualifications

  • 3+ years of relevant work experience in data engineering or a similar role.
  • Hands-on experience with Databricks and big data pipelines preferred.
  • Strong knowledge of data architectures and modern lakehouse platforms.

Responsibilities

  • Implement foundational data systems on Databricks to store, transform, and process data at scale.
  • Explain design choices and align team members for informed decisions about data landscapes.
  • Collaborate with clients in healthcare or banking on long-term data projects.
  • Build and maintain robust, scalable production data pipelines and systems.

Skills

Databricks
Spark
Delta Lake
Unity Catalog
Workflows
Cloud platforms

Tools

GCP
AWS
Azure

Job description

Xebia Databricks Division (XDD) in the Netherlands is looking for a Data Engineer to build, maintain, and scale data pipelines on Databricks. You’ll design robust production systems, ensure security and reliability, and work closely with healthcare and banking clients on long-term projects.

You’ll collaborate with top data professionals, contribute to open source, and grow your expertise in a dynamic, collaborative environment that values knowledge sharing, ownership, and customer impact.

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