Databricks engineer
Pubblicato il 14-08-2026 - Capgemini in Italia
Currently, we are seeking a Data Engineer to design, build, and evolve these data platforms. This includes supporting both use case delivery and the development of a Master Data Management (MDM) capability to standardise and codify engineering assets across programmes. Our client is a global professional services company delivering science‐based, digitally enabled, end‐to‐end solutions — from consulting and advisory to design and implementation — across the world's most complex infrastructure, advanced manufacturing, environmental and technology challenges. Your Role Design and develop data pipelines and data products within Databricks to support Augmented Delivery use cases. Build and maintain scalable data architectures, including data lakes, lakehouses, and data warehousing solutions. Develop and optimise SQL and Python‐based data transformations. Support the development and implementation of Master Data Management (MDM) solutions for engineering asset standardisation and codification. Ensure data quality, consistency, and governance across platforms.
Integrate data from multiple sources, enabling interoperability across engineering and digital systems. Collaborate with developers and digital engineering teams to enable data‐driven use cases and automation. Work within modern development environments using Dev Ops practices, including CI/CD, version control, and testing. Participate in pair programming and collaborative development. Present data solutions and architectures, clearly articulating complex concepts to non‐technical audiences. Contribute to data standards, models, and best practices across the programme. Your Profile Bachelor's degree in Computer Science, Engineering, Data Engineering, or a related discipline (or equivalent experience). Experience working as a Data Engineer or in a similar role. Strong experience with Databricks (or similar modern data platforms), SQL, and Python. Experience with data warehousing and lakehouse architectures. Data mode