Principal Data Engineer (Core Engineering)

Royal London

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profile Job Location:

Edinburgh - UK

profile Monthly Salary: Not Disclosed
Posted on: 17 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Title: Principal Data Engineer (Core Engineering)

Contract Type: Permanent

Location: Edinburgh or Glasgow or Alderley Park

Working Style: Hybrid 50% home/office based

Closing Date: 6th Feb 2026

We have a fantastic opportunity to join Royal London as a Principal Data Engineer and help shape the strategy and delivery of our enterprise data platforms. Youll provide technical leadership across Engineering Testing and Data Modelling within the Core Data Engineering Team guiding how we design build and evolve scalable resilient data solutions.

Youll break down complex Data Engineering challenges and communicate them clearly to senior stakeholders turning them into actionable roadmaps and epics. Youll review routetolive approaches environment strategies and testing frameworks ensuring strong controls monitoring and data integrity across pipelines.

As a key technical authority youll define designs patterns and standards working closely with Architects and contributing handson code in your area of specialism. Youll also set the technical direction for the conformed layer of our enterprise data platforma crucial asset that enables standardised reusable highquality data consumption across Royal London.

About you

  • Strong experience building CI/CD Data Engineering pipelines.
  • Skilled in designing modern ETL/ELT Data Transformation processes.
  • Passion for innovation and driving adoption of AI tools in supporting Data Engineering practices.
  • Defining steps to enhance data to support AI use cases.
  • Technical contributor with deep Data Engineering/Data Platform expertise.
  • Proven track record in delivering crossfunctional projects Driving action plans and roadmaps.
  • Experience with Azure Databricks Azure Data Factory and similar tools.
  • Proficient in Python PySpark and SQL.
  • Knowledge of Azure Data Lake ADLS Gen2 and big data services.
  • Broad understanding of AI/ML MDM data modelling and analysis.
  • Solid grasp of Data Lakehouse concepts ETL patterns Inmon/Kimball/Data Vault.
  • Familiar with BI tools (e.g. Power BI) and optimising consumption.
  • Experienced in release/code management for multiconsumer platforms.
  • Knowledgeable in testing methods for data products.

If you think you would be a great fit for our team at Royal London but dont meet all the requirements of the role please get in touch as your application will still be considered.

About Royal London

Were the UKs largest mutual life pensions and investment company offering protection long-term savings and asset management products and services.

Our People Promise to our colleagues is that we will all work somewhere inclusive responsible enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered Trustworthy Collaborate Achieve.

Weve always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays an up to 14% employer matching pension scheme and private medical insurance. You can see all our benefits here - Our Benefits

Inclusion diversity and belonging

Were an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected whatever their background.


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Job Title: Principal Data Engineer (Core Engineering)Contract Type: PermanentLocation: Edinburgh or Glasgow or Alderley ParkWorking Style: Hybrid 50% home/office basedClosing Date: 6th Feb 2026We have a fantastic opportunity to join Royal London as a Principal Data Engineer and help shape the strate...
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Key Skills

  • Design
  • Academics
  • AutoCAD 3D
  • Cafe
  • Fabrication
  • Java

About Company

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From Pensions to Retirement, Savings, Investments and Life Insurance, Royal London has been helping people plan for life’s financial milestones since 1861.

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