Databricks Data Engineer

At Dufrain, we help organisations turn complex data landscapes into scalable, high-performing platforms that drive better decisions and business outcomes. From building robust pipelines and reusable assets to enabling AI-ready architectures.

Data engineering is the heartbeat of every modern data platform, our engineers create the foundations that help clients unlock the full value of their data. Our Data Engineers play a pivotal role in supporting clients as they navigate the complexities of data management, analytics, and strategy. Responsibilities include but are not limited to;

• Develop good working relationships with clients on a project including interpersonal skills with both business and technical focused colleagues.
• Experience working as a data engineer to develop performant end-to-end solutions in a collaborative team environment.
• Delivering high-quality pieces of work, proven ability to escalate problems to client / senior team members where necessary and propose possible solutions.
• Support building the Consulting practice through contribution to ongoing initiatives. This can include contributing to knowledge-sharing activities, and data services.

You’re a driven, proactive experienced Data Engineer who thrives in fast‑paced environments and consistently delivers accurate, reliable solutions. You communicate with clarity, contribute confidently in meetings with senior stakeholders, and take ownership of your part in project delivery. Equally comfortable working independently or within an integrated squad, you support and share knowledge with others, stay current with industry standards, and meet tight deadlines while maintaining high engineering quality.

Essential Technical skills and experience:• Strong experience designing and delivering data solutions on Azure

• Broad data engineering skillset, with depth in either Microsoft Fabric or Databricks and a working understanding of the other
• Strong Python and PySpark, including object-oriented design, building reusable libraries and packages, and unit testing, alongside strong SQL
• Experience building and maintaining metadata-driven or parameterised pipelines rather than hand-built one-per-source solutions
• Solid grasp of lakehouse and medallion architecture, dimensional modelling

Desirable Certifications but not essential

• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional

Join a people-first consultancy where collaboration, learning and growth are part of everyday life. You'll work on diverse projects across industries, helping organisations turn data into insight and insight into action, while developing your skills alongside experienced data and AI professionals.

Ready to help organisations unlock the full potential of their data? Apply today and join a team that's shaping the future of data, analytics and AI.