Lead Data Engineer on Azure, Fabric & Databricks

Simpson Associates

York and North Yorkshire

On-site

GBP 65,000 - 100,000

Full time

37 hours ago
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Benefits offered by this job

Annual leave 25 days
Matched 4% pension contribution
Private medical cover
Wellbeing platform
Flexible working schedules
Cycle to Work salary sacrifice scheme

Job summary

Simpson Associates is seeking a Data Engineer to lead end-to-end delivery of data engineering projects using Microsoft Fabric, Databricks, and Azure-native technologies. You will act as the primary delivery contact for customers, shaping solutions, guiding teams, and ensuring projects meet time, cost, and quality goals.

Responsibilities include translating requirements into scalable architectures, mentoring junior consultants, and contributing to pre-sales estimates and delivery plans while

Qualifications

  • Extensive experience designing and delivering modern data engineering solutions on Azure.
  • Deep expertise with Microsoft Fabric and Databricks.
  • Strong consultancy, communication and leadership capabilities to guide delivery teams.

Responsibilities

  • Lead end-to-end delivery of data engineering projects, independently or as part of larger programmes.
  • Act as primary service delivery contact for customers, providing clear technical leadership.
  • Translate requirements into robust data platform architectures and designs across Azure stack.

Skills

Azure data services
Data engineering
Cloud architecture
Stakeholder communication
Team leadership

Tools

Databricks
Microsoft Fabric
Azure DevOps

Job description

Simpson Associates is seeking a Data Engineer to lead end-to-end delivery of data engineering projects using Microsoft Fabric, Databricks, and Azure-native technologies. You will act as the primary delivery contact for customers, shaping solutions, guiding teams, and ensuring projects meet time, cost, and quality goals.

Responsibilities include translating requirements into scalable architectures, mentoring junior consultants, and contributing to pre-sales estimates and delivery plans while

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