Senior Databricks Data Engineer – Migration & Modernisation

SR2 Consulting | Certified B Corporation™; Den Haag; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

SR2 Consulting is seeking a senior Databricks Migration & Modernisation Engineer for The Hague. You will lead migration efforts, modernising legacy data workloads onto a Databricks Lakehouse, combining hands-on engineering with reusable tooling.

In this role you’ll work 3 days onsite per week and collaborate with engineers, architects and business stakeholders. Expertise in Databricks, Spark, Python/SQL and AI-enhanced automation is highly valued.

Qualifications

• Senior, hands-on data engineer with migration/modernisation experience.
• Experience migrating legacy pipelines to Databricks Lakehouse.
• Familiar with Delta Lake, Unity Catalog, and DBT.

Responsibilities

• Migrate and refactor legacy data pipelines and models.
• Build scalable Databricks Lakehouse/Medallion architectures.
• Develop production pipelines with Spark, Python/Scala and SQL.
• Work with Delta Lake, Unity Catalog and DBT.
• Create reusable migration accelerators and templates.
• Develop repeatable engineering and migration patterns.
• Data validation, testing, reconciliation and performance tuning.
• Review workloads and propose migration strategies.
• Support workshops and design reviews with stakeholders.

Skills

Databricks

Spark

Python

SQL

Delta Lake

Unity Catalog

DBT

Lakehouse

Medallion Architecture

Job description

Databricks Migration & Modernisation Engineer

The Hague, Netherlands - 3 days onsite per week

We're looking for an experienced Databricks Migration & Modernisation Engineer to join a major enterprise data-platform transformation programme in The Hague.

You’ll help accelerate the migration and modernisation of legacy data workloads onto a modern Databricks Lakehouse platform, combining hands‑on engineering with the development of reusable migration tooling and patterns.

You’ll be responsible for:

• Migrating and refactoring legacy data pipelines and data models
• Building scalable Databricks Lakehouse / Medallion architectures
• Developing production-grade pipelines with Spark, Python/Scala and SQL
• Working with Delta Lake, Unity Catalog and DBT
• Building reusable migration accelerators, templates and utilities
• Developing repeatable engineering and migration patterns
• Data validation, reconciliation, testing and performance optimisation
• Reviewing existing workloads and recommending appropriate migration strategies
• Supporting technical workshops and design reviews
• Working closely with engineers, architects and business stakeholders

The technical environment in the brief spans Databricks, Spark, Python/Scala, advanced SQL, DBT and modern batch/streaming architectures.

What we're looking for

You’ll be a senior, hands‑on data engineer with strong experience across:

Databricks | Spark | Python | SQL | Delta Lake | Unity Catalog | DBT | Lakehouse | Medallion Architecture

Crucially, we’re interested in people who have worked on large-scale migration and modernisation programmes, rather than purely BAU data engineering.

Experience building reusable engineering frameworks or migration accelerators will be particularly valuable.

The programme is also looking at how GenAI and agentic AI can accelerate data migration and engineering.

Experience using AI for code conversion, refactoring, documentation, testing or workflow automation or building AI agents/engineering assistants is highly desirable.

The Hague, Netherlands

3 days onsite per week

If you're a senior Databricks engineer who enjoys solving migration problems at scale, rather than simply building individual pipelines, we'd like to hear from you.