Head of Core Data Engineering

Edinburgh, GB

Royal London

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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Job Title: Head of Core Data Engineering

Contract Type: Permanent

Location: Edinburgh / Glasgow / Alderley Park

Working style: Hybrid 50% home/office based

Closing date: 5th January 2025

 

A fantastic opportunity to join our growing Group Data & Analytics Office (GDAO). Responsible for enhancing the effectiveness of how data is used across Royal London. The function provides Data Strategy, Data Management and Analytics capabilities. The Head of Core Data Engineering plays a critical leadership role responsible for the execution of data engineering, data modelling and data testing across data platforms.

You will bring strategic leadership for Data Engineering, Modelling and Testing and collaborate closely with key partners in Group Technology. You will be able to advise senior stakeholders on complex issues and have the ability to build a high-performing team

 

About the role

 

 

  • Own the Data Engineering and Data Testing capability within Data Transformation
  • Ensure high quality data engineering and data testing practices are adhered to
  • Lead, support and develop a team of data engineers, data testers and data modellers to deliver the team’s objectives.
  • Develop and drive the long-term data engineering roadmap based on strategic commitments, business objectives, emerging technologies, and regulatory landscape
  • Strategic leadership of large-scale data engineering and data testing engagements
  • Stay current on industry trends, innovations, and best practices in data

 

About you

 

What will you bring to the role?

 

  • Expert understanding of data engineering and data modelling principles and best practice
  • Expert understanding of data warehouse testing including data product testing
  • Experience of mentoring and coaching more junior team members
  • Experience of managing multiple stakeholders
  • Good understanding of cloud data engineering technologies including: Spark, Azure Data Factory, Azure Databricks, Azure DevOps (ADO)
  • Experience of a number of other programming languages, such as the SQL, Python etc.
  • Experience of applying analytics and data science techniques including the use of predictive modelling, data mining and the analysis of large data sets
  • Expertise in the area of data Engineering and application of data management design, such as data lakes and data warehouses

 

 

About Royal London

 

We’re the UK’s 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. 

 

We've 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 

 

We’re 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Azure Databricks Data management Data Mining Data strategy Data warehouse DevOps Engineering Python Spark SQL Testing

Perks/benefits: Health care Medical leave

Region: Europe
Country: United Kingdom

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