Senior Databricks Data Engineer

GeekSoft Consulting; Eindhoven; On-site; EUR 90,000 - 130,000; Full time

Job summary

GeekSoft Consulting in Eindhoven, Netherlands, is seeking an experienced Data Engineer to design, build, and optimize scalable data solutions on Databricks. You will work with Python, PySpark, SQL and modern data governance practices, delivering trusted data products while supporting CI/CD, agile delivery, and AI-enabled capabilities in a regulated enterprise environment.

The role emphasizes data mesh concepts, Delta Lake, Unity Catalog, and collaboration with Data Architects, Product Owners,

Qualifications

• 5+ years of Data Engineering experience.
• 3+ years of hands-on Databricks experience.
• Experience designing and optimizing scalable data solutions on Databricks (AWS).
• Strong data engineering with cloud platforms, data modeling and modern software practices.
• Hands-on Databricks Data Engineer capable of independent design and collaboration.
• Develop and optimize ETL/ELT processes for large-scale workloads.
• Implement data models and products following Data Mesh and Medallion Architecture.

Responsibilities

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions.
• Take responsibility for resiliency and availability of products.
• Be a productive team member.

Skills

Data engineering

Python

PySpark

SQL

Data modeling

Agile delivery

Data governance

Data Mesh

ETL/ELT design

Cloud platforms

Tools

Databricks

Delta Lake

Unity Catalog

Git/GitLab

CI/CD

REST APIs

Job description

GeekSoft Consulting | Fixed Term Employment

Eindhoven, Netherlands | Posted on 09/09/2026

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

Requirements

• 5+ years of Data Engineering experience.
• 3+ years of hands-on Databricks experience.
• Play a key role in designing, building, and optimizing scalable data solutions on Databricks (AWS), enabling trusted data products, data governance, and AI-driven business capabilities.
• Strong data engineering expertise with hands-on experience in Databricks, cloud-based data platforms, data modeling, and modern software engineering practices.
• Hands-on Databricks Data Engineer who can independently design and implement data solutions, collaborate effectively with business and technical stakeholders, and contribute to delivering trusted, governed, and scalable data products.
• Develop and optimize ETL/ELT processes for large-scale enterprise data workloads.
• Implement data models and data products following Data Mesh and Medallion Architecture principles.
• Work with structured, semi-structured, and streaming data sources.
• Develop solutions using PySpark, SQL, and Databricks Workflows.
• Integrate and govern data using Unity Catalog.
• Support data quality, metadata management, lineage, and governance initiatives.
• Optimize data processing for performance, scalability, reliability, and cost efficiency.
• Collaborate with Data Architects, Product Owners, Data Governance teams, and Business Stakeholders.
• Contribute to CI/CD, automated testing, and deployment processes.
• Strong Python and PySpark development skills.
• Advanced SQL knowledge with experience in performance optimization.
• Experience with Delta Lake and Medallion Architecture.
• Experience with Databricks Unity Catalog.
• Experience building scalable ETL/ELT pipelines.
• Strong understanding of data modeling and data warehousing concepts.
• Experience with Git, CI/CD, and DevOps practices.
• Experience working in Agile delivery teams.
• Experience with Data Governance platforms and metadata management.
• Knowledge of Data Quality frameworks and monitoring solutions.
• Experience with Data Products and Data Mesh concepts.
• Experience with Databricks Workflows and Asset Bundles.
• Knowledge of AI, Machine Learning, or GenAI solutions.
• Experience working in regulated enterprise environments.
• Preferred Technology Stack:Databricks, PySpark, Python, SQL, Delta Lake, Unity Catalog, Git/GitLab, CI/CD, Data Quality Frameworks, Data Governance Tooling, REST APIs, Cloud Data Platforms.
• A challenging, innovating environment.
• Opportunities for learning where needed.