Data Engineer

Source Group International; Amsterdam; Hybrid; EUR 110,000 - 150,000; Full time

Job summary

Source Group International is seeking a Lead Data Engineer to drive enterprise data products and architecture. Hybrid, permanent role with ownership of data pipelines, semantic layers, and governance across multiple business domains.

The ideal candidate will have a strong hands-on background in cloud data platforms, Databricks, PySpark, and data quality frameworks, delivering scalable analytics foundations for reporting and AI use cases.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data architecture

Data pipelines

Data governance

Leadership

Stakeholder mgmt

Data modelling

CI/CD

Observability

Data quality

Tools

Databricks Lakehouse

dbt

PySpark

Unity Catalog

DataHub

CI/CD tooling

Job description

Lead Data Engineer

Location: Flexible / Hybrid
Type: Permanent

Required Background

• 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

Key Responsibilities

• 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

Ideal Candidate

• 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