Senior Data Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation™; Den Haag; Hybrid; EUR 90,000 - 110,000; Full time

Job summary

SR2 | Socially Responsible Recruitment | Certified B Corporation™ in The Hague seeks an experienced Senior Data Engineer / Migration & Modernisation Engineer to join a major enterprise data transformation programme. You will modernise and consolidate complex data workloads onto a Databricks Lakehouse platform, combining hands-on engineering with technical consulting.

You will develop reusable migration accelerators, collaborate with architects and stakeholders, and apply GenAI/AI agents to

Qualifications

• Experience delivering data migration or modernisation programmes.
• Hands-on Databricks and Spark engineering experience.
• Experience modernising legacy ETL/ELT workloads and building reusable frameworks.

Responsibilities

• Refactor legacy data pipelines, models and data products into scalable Lakehouse architectures.
• Build production-ready pipelines using Databricks, Spark, Python/Scala, SQL and DBT.
• Develop reusable migration accelerators, utilities, templates and reference implementations.
• Assess existing pipelines and recommend migration and refactoring approaches.
• Establish engineering patterns, standards and best practices.
• Support data validation, reconciliation, testing and performance optimisation.
• Collaborate with engineering teams, architects and business stakeholders.
• Run technical workshops and design reviews.
• Apply GenAI and AI agents to accelerate migration and documentation workflows.

Skills

Data migration

Hands-on Databricks/Spark

Data modelling

CI/CD/DevOps

Stakeholder communication

GenAI/AI in data eng

Tools

Databricks

Apache Spark

Python

SQL

Delta Lake

Unity Catalog

DBT

Job description

The Hague, Netherlands – 3 days onsite per week

Up to €100,000

Permanent

We’re looking for an experienced Senior Data Engineer / Migration & Modernisation Engineer to join a major enterprise data transformation programme in The Hague.

You’ll be working on the modernisation and consolidation of complex data workloads onto a next-generation Databricks Lakehouse platform.

This isn't simply a BAU data engineering position. You'll combine hands‑on engineering with technical consulting, while developing reusable migration frameworks and accelerators that enable multiple teams to modernise their data estate faster and more consistently.

What you’ll be doing

• Refactoring legacy data pipelines, models and data products into scalable Lakehouse and Medallion architectures
• Building production-ready pipelines using Databricks, Spark, Python/Scala, SQL and DBT
• Developing reusable migration accelerators, utilities, templates and reference implementations
• Assessing existing pipelines and recommending practical migration and refactoring approaches
• Establishing engineering patterns, standards and best practices
• Supporting data validation, reconciliation, testing and performance optimisation
• Working directly with engineering teams, architects and business stakeholders
• Running technical workshops and design reviews
• Applying GenAI and agentic AI to accelerate migration, code conversion and documentation and engineering workflows

We are looking for strong experience across:

Databricks | Apache Spark | Python | SQL | Delta Lake | Unity Catalog | DBT | Lakehouse | Medallion Architecture | ETL/ELT

You'll ideally have:

• Delivered complex data migration or modernisation programmes
• Strong hands on Databricks and Spark engineering experience
• Experience modernising legacy ETL/ELT workloadsBuilt reusable frameworks, libraries, tooling or engineering patterns
• Strong data modelling and data-quality experience
• Experience with CI/CD and modern DevOps practices
• The communication skills to advise and challenge technical stakeholders
• An interest in using GenAI/AI agents within data engineering

The role specifically requires someone capable of operating as both a hands‑on engineer and technical consultant to migration teams.

This is an opportunity to play an influential role within a significant enterprise data‑platform modernisation programme, helping establish how migrations are engineered and delivered at scale rather than simply migrating individual pipelines.