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Senior Databricks Data Engineer - Capgemini
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Senior Databricks Data Engineer

Published 09/30/2026 | Expires 12/10/2026

Job description

Whether you are early in your career or at the top of your game, we’ll encourage you to fulfil your potential to be better. Through our passion for technology, our hands‑on, entrepreneurial culture, and continuous learning mindset, we’ll provide everything you need to thrive and become the best you can be.

Your Role

As a Senior Databricks Data Engineer, you are responsible for designing, building, and optimizing modern data platforms that enable organizations to unlock the full value of their data. You combine deep expertise in Databricks, Spark, and cloud-based data ecosystems with a passion for delivering scalable, reliable, and business-focused solutions. Working closely with data architects, analytics specialists, AI experts, and client stakeholders, you help build data foundations that power analytics, artificial intelligence, and digital transformation initiatives. This role sits within our Data & AI community, where data engineering forms the backbone of trusted and scalable data ecosystems.


In this role you will play a key role in:

  • Designing and developing scalable data pipelines and processing frameworks using Databricks, Apache Spark, and cloud-native technologies.
  • Building and optimizing data transformation solutions using PySpark, SQL, and modern data engineering best practices.
  • Implementing lakehouse architectures and Delta Lake capabilities to support reliable, governed, and high-performance data platforms.
  • Ensuring data quality, availability, scalability, and operational excellence across enterprise data environments.
  • Collaborating with architects, data engineers, analysts, and AI teams to deliver end-to-end data solutions aligned with business objectives.
  • Driving continuous improvement through automation, performance optimization, and adoption of emerging Data & AI technologies.

Your Profile

We are looking for an experienced data engineering professional who enjoys solving complex technical challenges, thrives in collaborative environments, and is passionate about building modern data platforms that create business value.

 

  • Extensive experience as a Data Engineer with strong hands-on expertise in Databricks within enterprise environments.
  • Proven experience with Apache Spark, PySpark, SQL, and large-scale data processing solutions.
  • Strong understanding of modern data platform concepts, including lakehouse architectures, Delta Lake, data modelling, and cloud-based data ecosystems.
  • Professional working proficiency in English and Dutch is required. Knowledge of French is a strong advantage.

What you'll love about working here

  • Scale & Impact: Join a global Data & AI community of more than 25,000 professionals helping clients transform their businesses through data, analytics, AI, and cloud solutions.
  • Career Growth: Build your own career path through diverse opportunities across Data Engineering, Architecture, AI & Analytics, Data Trust, Solution Design, and Leadership roles.
  • Learning & Development: Access the Data & AI Campus, technical coaching, industry-recognized certifications, partner learning programmes, Gen AI learning journeys, and extensive digital learning platforms.
  • Community & Support: Collaborate with a strong network of Data & AI specialists, Centres of Excellence, technical communities, and partner ecosystems while sharing knowledge and delivering innovative solutions together.
  • Flexibility & Balance: Benefit from hybrid working, FlexAbroad opportunities, and a people-centric culture that empowers you to balance personal wellbeing with professional growth.

About Sogeti

Part of the Capgemini Group, Sogeti makes technology simple and impactful. We specialize in AI-driven solutions across quality engineering & testing, data and cloud, quickly turning ideas into action. Sogeti delivers real outcomes, helping organizations innovate confidently and realize value from day one. We are agile and responsive, leveraging our strong partnerships. Our local teams work side-by-side with clients, building close relationships by understanding their world. Together with the Capgemini Group’s global strength and industry expertise, we create results that scale.

Job criteria

Employee Medium level (2-5 years)
Type of job Full-time
Cities Hybrid (Diegem)