Senior Data Engineer

Cyber Security training courses

Greater London

On-site

GBP 60,000 - 75,000

Full time

14 days+

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Benefits offered by this job

Hybrid working model
Career progression in data

Job summary

Cyber Security training courses in London is seeking a Senior Data Engineer to lead the Microsoft Fabric data platform transformation. You will design scalable ETL/ELT pipelines, model data for warehousing, and work with Azure services and Power BI to meet reporting needs.

Joining a growing team, you will influence architecture decisions and data strategy while delivering high-quality data solutions in a hybrid environment.

Qualifications

  • Strong experience as a Data Engineer in a Microsoft environment.
  • Hands-on experience with Microsoft Fabric.
  • Experience building and maintaining ETL/ELT pipelines.
  • Strong SQL/T-SQL skills.
  • Experience designing and developing scalable data solutions.
  • Data modelling and data warehouse experience.
  • Strong problem-solving and analytical skills.
  • Excellent stakeholder management and communication skills.

Responsibilities

  • Design and develop scalable ETL/ELT pipelines using Fabric.
  • Build and maintain data models and warehousing solutions.
  • Collaborate with business and technical stakeholders across departments.
  • Migrate and transform large data sets with governance and quality.
  • Leverage AI/automation initiatives to improve data processes.

Skills

Microsoft Fabric
SQL/T-SQL
PySpark
Python

Tools

Azure Data Factory
Azure Synapse
Power BI

Job description

Senior Data Engineer - Microsoft Fabric - London (Hybrid) - Up to £75,000

This is an exciting opportunity to join a well-established international organisation currently undergoing a major transformation of its data and reporting landscape.

With significant investment being made into Microsoft Fabric, data modernisation and automation, the business is looking for a Senior Data Engineer who can play a key role in shaping and delivering its next‑generation data platform. You'll join a growing team at a pivotal stage, helping to build scalable data solutions while influencing best practice and future architecture decisions across the business.

This role would suit someone who is passionate about modern Microsoft data technologies and wants to work in an environment where Microsoft Fabric is central to the long‑term data strategy.

You Will Work With
  • Microsoft Fabric (Lakehouses, Data Pipelines, Notebooks and Dataflows)
  • Designing and developing scalable ETL/ELT solutions
  • Large-scale data migration and transformation projects
  • SQL and T‑SQL development
  • Data modelling and data warehousing solutions
  • Azure-based data services and integrations
  • PySpark and Python within Fabric Notebooks
  • Power BI reporting and analytics requirements
  • Business and technical stakeholders across multiple departments
  • AI, automation and continuous improvement initiatives
Benefits
  • Salary up to £75,000 depending on experience
  • Hybrid working model
  • Opportunity to work on a major Microsoft Fabric transformation
  • Exposure to AI and automation projects
  • Ongoing training and development
  • Clear progression opportunities within a growing data function
  • Collaborative and supportive team environment
  • Opportunity to influence future data strategy
Key Experience
Essential
  • Strong experience as a Data Engineer in a Microsoft environment
  • Hands‑on experience with Microsoft Fabric
  • Experience building and maintaining ETL/ELT pipelines
  • Strong SQL/T‑SQL skills
  • Experience designing and developing scalable data solutions
  • Data modelling and data warehouse experience
  • Strong problem‑solving and analytical skills
  • Excellent stakeholder management and communication skills
Desirable
  • PySpark and Python experience within Fabric Notebooks
  • Azure Data Factory, Synapse Analytics or Azure Data Lake
  • Power BI
  • Data migration experience
  • CI/CD and DevOps exposureAI/ML experience
  • Microsoft Fabric certifications (DP‑600)
  • Azure Data Engineering certification (DP‑203)
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