Databricks Engineer

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 DevOps 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 modelling and ETL/ELT experience.
• Understanding of Master Data Management (MDM) principles.
• Familiarity with APIs and data integration patterns.
• Experience with Git-based version control.
• Understanding of CI/CD, DevOps, and modern development practices.
• Strong communication and stakeholder engagement skills.

Would be a plus:

• Experience implementing or supporting MDM solutions.
• Experience with engineering, BIM, or infrastructure data environments.
• Exposure to event-driven or real-time data architectures.
• Experience in large-scale infrastructure or multidisciplinary programmes.
• Familiarity with data governance frameworks and standards.