Data Engineering Consultant

Build data platforms and analytical solutions for client projects, combining hands-on engineering with consulting and agile delivery. The work spans the data pipeline lifecycle, from understanding requirements through building reliable, governed solutions. This is a remote role for candidates based in the UK, with occasional visits to customers or team locations.

• Gather client requirements and contribute to practical data engineering designs.
• Develop data pipelines and platform components using cloud services, Spark, Python, and SQL.
• Orchestrate data workflows and work with lake storage and table formats.
• Apply practices that improve data quality, resilience, observability, and governance.
• Participate in agile project delivery and follow sound development and deployment processes.
• Share knowledge with colleagues and contribute to a collaborative technical community.

• Working knowledge of Microsoft Azure and cloud computing concepts.
• Experience with Apache Spark, such as Databricks, Microsoft Fabric, or a similar engine.
• Good Python and SQL skills, including writing complex, efficient queries.
• Familiarity with orchestration tools, Azure Data Lake, and Delta Lake.
• Exposure to data governance tooling and infrastructure as code, such as Unity Catalog or Purview, Terraform, or Azure Dev Ops.
• Client consulting, requirements gathering, agile delivery, object-oriented development, and CI/CD or software lifecycle practices.

• Experience with streaming data, distributed systems, or Azure Functions.

• Remote work from within the UK, with occasional travel to customers or team locations.