at Capgemini
ConsultanciesPosted 5 days ago
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**Senior Databricks Data Engineer** at Sogeti designs and builds large-scale data platforms using Databricks and Spark, enabling analytics and AI in production environments. Key responsibilities include designing scalable data pipelines, implementing transformation patterns with PySpark and SQL, applying lakehouse and Delta Lake concepts, optimizing Databricks workloads, and collaborating with cross-functional teams. Requires senior-level experience in data engineering with hands-on Databricks, Spark, and SQL skills. Professional proficiency in English and Dutch, with French being an advantage. Offers flexible work arrangements and comprehensive benefits.
- Compensation
- Not specified
- City
- Not specified
- Country
- Belgium
Currency: Not specified
Full Job Description
At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, well encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, well provide everything you need to do your best work and become the best you can be.
The role
Job description:
You design and build large scale data platforms on Databricks that support analytics, AI, and advanced data use cases in production environments. By delivering robust, performant, and scalable data pipelines, you enable reliable downstream analytics and AI consumption. You work with Databricks as a core platform, leveraging Spark and lakehouse patterns to transform raw data into trusted, highquality data products. You join a strong Data and AI community where engineering excellence, technical ownership, and continuous learning are central.
Your role:
You design, implement, and operate Databricksbased data solutions in complex enterprise environments. You take ownership of endtoend Databricks workloads, from ingestion and transformation to optimization and reliable delivery. You work closely with data architects, analytics consultants, and client teams to ensure data solutions are scalable, performant, and fit for production use.
Core responsibilities
- Design and build scalable data pipelines using Databricks and Spark
- Implement transformation patterns using PySpark and SQL
- Apply lakehouse and Delta Lake patterns for reliable data processing
- Optimize performance, stability, and cost of Databricks workloads
- Collaborate with architects and engineering teams on platform design choices
- Ensure data availability and quality for analytics, AI, and advanced use cases
Your profile:
Must haves
- Strong experience as a senior data engineer working with Databricks
- Handson experience with Spark and PySpark in production environments
- Solid experience with Databricks lakehouse concepts and Delta Lake
- Strong knowledge of SQL and data modeling concepts
- Professional working proficiency in English and Dutch is required. Knowledge of French is a strong advantage.
Nice to haves
- Experience with performance tuning and cost optimization on Databricks
- Experience in regulated or enterprise environments
- Consulting or customerfacing experience
What you'll love about working here
At Sogeti Belgium we offer flexibility in more than one way: next to our hybrid way of working, where we offer you can work 70% from home, we also offer our flex abroad program. With this program you can work up to 45 days abroad, this to maintain a good work-life balance;
Next to this we also offer following additional benefits:
- Net expenses
- Company car or mobility budget (whatever works best for you)
- Health insurance
- Meal vouchers
- Pension plan
- Eco vouchers from €250/year
- A flex plan where you can buy extra days off, update your insurance or buy home office supplies
- 32 vacation days
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
