Senior 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.

Responsibilities

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.

You will have:

• The drive to meet tight deadlines and maintain high standards of delivery
• Confidence participating effectively in meetings with senior stakeholders
• A collaborative mindset—supporting, encouraging, and sharing knowledge across the team
• Self‑starter habits; you work well under pressure with limited supervision
• A track record of accurate output and ownership of elements of project delivery
• Flexibility to work as part of an integrated team or independently as needed
• Awareness of relevant industry standards, regulations, and current developments

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 including SCD Type 2, and incremental load patterns (watermarking, CDC, idempotent and restartable pipelines)
• Practical data quality and schema drift handling, including validation rules and quarantine and reprocessing patterns
• Engineering delivery discipline: Git branching and code review, CI/CD for data pipelines (Azure DevOps), environment promotion and testing, with awareness of Terraform or Bicep

Highly desirable skills and experience

• Hands-on Databricks components: Delta Lake, Unity Catalog, Workflows, LakeFlow (Connect and Declarative Pipelines), Databricks Asset Bundles
• Hands-on Fabric engineering: pipelines, notebooks, environments, and deployment via DevOps or fabric-cicd
• Breadth of source connectivity: REST APIs, SQL Server, PostgreSQL, file-based sources, and streaming via Event Hubs
• Experience contributing to reusable frameworks, accelerators, or internal libraries distributed as packages
• Migration experience from legacy estates (SSIS, Synapse, on-prem SQL) into modern lakehouse platforms
• Experience with Purview, or equivalent catalogue and lineage tooling

Desirable Certifications

• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Fabric Data Engineer Associate (DP-700)

Requirements

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.

Benefits

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.