> Markdown version of [/jobs/ext/4677503-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/4677503-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Data Engineer

- **Company:** Source Group
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Continuous Integration, Data Architecture, Data Discovery, Information Engineering, Data Governance, Data Sharing, Digital Assets, Machine Learning, Meta-Data Management, Cloud Services, DataOps, Enterprise Data Management, Data Layers, Pyspark, Data Lineage, Data Management, Data Pipelines, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.careerjet.nl/job/nl65930a35bae4bae75711176d15ef9cbe/eaa

## About the Role

* 12+ years' experience delivering enterprise data and analytics solutions
 * Proven track record owning end-to-end data architecture and complex technical initiatives
 * Experience designing and delivering production-grade data platforms and shared data products
 * Strong background translating complex business requirements into scalable data solutions
 * Experience establishing engineering standards, best practices, and architectural governance
 * Ability to work across multiple business domains and stakeholder groups
 * Strong ownership mindset with experience leading technical design through to production delivery

Technical Skills

 * Expert SQL
 * Databricks Lakehouse architecture
 * dbt
 * PySpark
 * Data architecture and solution design
 * Data modelling and transformation frameworks
 * Semantic layer design and implementation
 * Data pipeline development and optimisation
 * Unity Catalog
 * Data governance and access controls
 * Column-level security and PII management
 * Data lineage and metadata management
 * DataHub
 * CI/CD and deployment practices
 * Data observability and monitoring
 * Testing frameworks and data quality controls

Nice to Have

 * Experience supporting AI, machine learning, or conversational analytics workloads
 * Experience designing reusable enterprise data products
 * Knowledge of modern data governance frameworks
 * Experience implementing data discovery and self-service analytics capabilities
 * Exposure to large-scale cloud data platforms
 * Experience building enterprise-wide reporting and analytics foundations
 * Strong understanding of platform engineering and data product operating models, * Senior technical leader with deep data engineering and architecture expertise
 * Strong hands-on capability across modern cloud data platforms
 * Comfortable operating in complex enterprise environments
 * Excellent problem-solving and stakeholder management skills
 * Passionate about building scalable, governed, and reusable data products
 * Able to balance strategic architecture with hands-on technical delivery

## Description

* Architect and deliver enterprise data products end-to-end
 * Design scalable data pipelines, models, and transformation frameworks
 * Build and evolve semantic layers supporting reporting, analytics, and AI use cases
 * Define and implement data governance, security, lineage, and ownership standards
 * Establish engineering standards for quality, testing, documentation, and maintainability
 * Drive platform observability, CI/CD, and data quality best practices
 * Model complex business domains and create reusable data assets
 * Own technical delivery from design through deployment and continuous improvement