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CEOX

Lead Data Engineer

CEOX

Lead Data Engineer focused on data lifecycle and enterprise-level solutions for public sector projects. Design, build, and optimize solutions using Azure, Databricks, and Fabric.

Posted 5/29/2026full-timeGuildford • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies
AzureSQLTerraform

About the role

Key responsibilities & impact
  • Develop solutions using Azure Databricks and/or Fabric
  • Implement Medallion Architecture (Bronze, Silver, Gold)
  • Develop data warehouse and lakehouse solutions
  • Support BI, analytics, and AI workloads
  • Optimise performance, cost, and reliability
  • Collaborate with technical and functional stakeholders

Requirements

What you’ll need
  • Strong Data Engineer with deep technical expertise in Azure, Databricks and Fabric
  • Proven ability to make both high-level strategic and day-to-day operational decisions with confidence
  • Strong leadership and interpersonal skills, with a track record of motivating and influencing stakeholders at all levels
  • Sharp analytical mindset with the ability to proactively spot emerging opportunities and resolve challenges before they escalate
  • Strong hands-on experience with Azure Databricks and Fabric
  • Strong SQL and data warehousing expertise
  • Experience with data modelling
  • Experience with Databricks AI/BI or Power BI
  • Experience with CI/CD and DevOps practices
  • Experience in consulting / professional services (Desirable)
  • Exposure to AI and advanced analytics solutions (Desirable)
  • Exposure to Agentic AI systems built on top of Large Language Models (Desirable)
  • Experience with real-time / streaming data (Desirable)
  • Experience with Infrastructure as Code (Terraform or Bicep) (Desirable)
  • Experience in regulated industries (Desirable)
  • Passionate about staying at the forefront of industry developments, with a habit of actively monitoring emerging trends, tools, and technologies (Desirable)
  • Strong problem-solving skills (Soft Skills)
  • Collaborative and team-oriented mindset (Soft Skills)
  • Clear communication and documentation skills (Soft Skills)
  • Ability to work in fast-paced delivery environments (Soft Skills)

Benefits

Comp & perks
  • Competitive Salary

ATS Keywords

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Hard Skills & Tools
AzureDatabricksFabricSQLdata warehousingdata modellingCI/CDDevOpsInfrastructure as Codereal-time data
Soft Skills
leadershipinterpersonal skillsanalytical mindsetproblem-solvingcollaborative mindsetcommunication skillsdocumentation skillsability to work in fast-paced environmentsmotivating stakeholdersinfluencing stakeholders