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Data & Integrations Lead Engineer

Hybrid in London·Full-time·Added today (last checked 11 Nov)

Agency
Select Group

36 open roles

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Our summary

Salary
£95,000 a year

About £5,470 a month after tax.

Work mode
Hybrid, London
Contract
Full-time
Experience
Senior level
Holiday
25 days holiday + bank holidays

Skills

Nice to have

Requirements

What we're looking for

  • Strong hands-on experience building and operating data pipelines.
  • Practical experience with Microsoft Fabric, OneLake and Data Factory.
  • Strong SQL skills and experience with ETL/ELT processes.
  • Experience working with APIs, connectors and data integrations.
  • Understanding of data warehousing, lakehouse architecture and data quality.
  • Experience monitoring and supporting production data environments.

Nice to have

  • Microsoft Fabric or Azure Data Engineer certifications.
  • Experience with Dynamics 365, Dataverse, SharePoint or Microsoft Graph.
  • Power BI experience.
  • Experience working with financial, operational or large-scale commercial datasets.
  • Knowledge of CI/CD and automated deployment processes.

Pay & benefits

What you'll get

  • Up to £95,000
  • Discretionary annual bonus
  • Generous pension scheme
  • Private medical insurance
  • Life insurance
  • 25 days annual leave plus bank holidays

The role

Location: London
Salary: £95,000
Working pattern: Hybrid

I'm currently working on an exciting opportunity for a hands-on Lead Data Engineer to join a growing international business within the transportation and maritime sector.

This is a fantastic opportunity for someone to take ownership of building and developing a modern data integration environment, working extensively with Microsoft Fabric, OneLake and Azure data technologies.

The successful candidate will play a key role in connecting internal and external data sources, building reliable data pipelines and creating the foundations for business intelligence, analytics and future AI initiatives.

What you'll do

  • Design, build and maintain data pipelines, connectors, APIs and ETL/ELT processes.
  • Develop and manage data ingestion and transformation processes using Microsoft Fabric and OneLake.
  • Integrate data from operational systems, Microsoft applications and external data providers.
  • Work with SQL to transform, validate and reconcile datasets.
  • Implement data quality checks, monitoring, alerting and error-handling processes.
  • Maintain data lineage, metadata and documentation.
  • Support Power BI reporting, analytics and future AI initiatives.
  • Take ownership of production data pipelines, troubleshooting and resolving integration issues.

What's on Offer?

Interested? Drop me a message or comment below and I'll be happy to share further details.

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