Senior Data Engineer

Job Title: Senior Data Engineer

Contract Type: Permanent

Location: Alderley Edge or Edinburgh

Working style: Hybrid 50% home/office based

Closing date: 25th February 2025

We are currently seeking a highly skilled and experienced Senior Data Engineer to join our leading insurance business. As a Senior Data Engineer, You will play a critical role in the design, development, and maintenance of our data infrastructure and architecture. 

You will collaborate with cross-functional teams to ensure efficient data management and processing and contribute to the development of innovative data-driven solutions.

The successful candidate will possess a strong technical background, ideally with experience in SQL, Python and CI/CD tools. We are transforming our business, to a cloud based infrastructure, so experience with Azure and AWS is beneficial for the role. We are also, looking for, exceptional problem-solving skills, and the ability to work in a dynamic and fast-paced environment. The team is growing with a focus on career development and progression within the business, so this is an exciting time to join a leader within the industry.

This role contributes to our purpose of, strengthening the mutual choice for customers by providing leading and cutting-edge technology solutions.

About the role

• Design and implement scalable and robust data pipelines to extract, transform, and load data from various sources.
• Collaborate with data scientists and analysts to develop data models, algorithms, and statistical analyses.
• Optimize and tune database queries, ensuring optimal performance and reliability.
• Evaluate and select appropriate tools and technologies to enhance data processing capabilities.
• Develop and maintain documentation on data integration processes, data flows, and data lineage.
• Implement and enforce data governance policies and procedures to ensure data accuracy and integrity.
• Stay current with industry trends and advancements in data engineering, recommending, and adopting best practices.

About you

• Bachelor's degree in computer science, Data Engineering, or a related field. 
• Minimum of 3-5 years' experience in data engineering, with a focus on data pipeline development and data integration.
• Strong proficiency in programming languages such as Python and CICD tools or Databricks.
• In-depth knowledge of SQL and relational databases, including database design and query optimization.
• Familiarity with cloud-based data platforms, such as AWS or Azure.
• Excellent problem-solving and analytical skills, with the ability to analyse complex data sets and identify patterns and trends.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

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.