Senior Data Engineer
Capgemini
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description - Grade Specific
YOUR ROLE
As a Senior Data Engineer, you will work on advanced data projects, contributing to the development of robust data solutions that support business-critical decisions. You will collaborate closely with analysts, developers, and stakeholders to design scalable data platforms and deliver meaningful insights.
- Develop and maintain scalable data pipelines using technologies such as Azure Data Factory, Databricks, and Synapse Analytics
- Design and implement data solutions that support analytics, reporting, and monitoring initiatives
- Translate business needs into technical specifications and ensure delivery of high-quality data products
- Work with stakeholders to identify, gather, and transform data from multiple sources into usable datasets
- Participate in the development of automated deployment pipelines using Azure DevOps
- Ensure compliance with data governance and security policies across all deliverables
- Contribute to the continuous improvement of data engineering best practices
- Collaborate in an Agile development environment within a cross-functional team
- Support the implementation of self-service BI tools and promote data-driven culture across teams
- Provide technical expertise and mentoring to junior team members when needed
YOUR PROFILE
- University degree in Computer Science, Information Technology, or related field
- 5+ years of experience as a data engineer, ideally working on enterprise-scale data solutions
- Strong experience with SQL, data modeling, and development of ETL processes
- Proficiency with Azure data platform tools such as Azure Data Factory, Databricks, and Synapse
- Working knowledge of Python and Spark
- Familiarity with Agile methodologies and DevOps practices
- Excellent problem-solving and analytical skills, with a proactive mindset
- Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders
- Focused on results, quality, and delivering business value
- Fluent in English
WHAT YOU'LL LOVE ABOUT WORKING HERE
- We offer a space for self-realization, and we’ll support you to push yourself further and help you get certifications! The advantage of an international company is that it offers both know-how and diverse opportunities across branches.
- We are fans of flexibility and trust. Working hours are relaxed and a home office is of course possible. The most important thing is that YOUR work is delivered on time and with quality.
- We empower our people to be changemakers and contribute to a positive future. Every year through Impact Together Week our people volunteer and participate in activities focused on a sustainable and inclusive future. So far, 7,000+ volunteers have used their skills and time to help people in need.
- We offer multiple benefits, such as meal vouchers, multisport card, birthday day off, free entrance to a fitness studio in the office building and much more! Apart from that, we organize a company breakfast every month!
Skills (competencies)
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.