Data Engineer

Job Title: Data Engineer

Contract Type: Permanent

Location: Alderley Park or Glasgow

Working style: Hybrid 50% home/office based

Closing date: 10th December 2024

A Data Engineer will define, manage, and deliver the data, tools, and technical assets for analytics, data science, and machine learning projects. These initiatives will generate insights, solve business problems, and support decision-making at all levels. They will support the Senior Data Engineer in setting technical standards and act as an internal SME for data engineering and analytics.

The team aims to create business value through specific projects, support other teams with data services, and serve as a Centre of Excellence in Analytics and Data Science, advancing the Group’s data-led ambitions.

About the role

• Source, evaluate, interpret, and manage multiple disparate data sources for Analytics and Data Science projects. Understand, own, and manage the team’s data, collaborating with business, GTC, and external partners.
• Design, develop, and productionize data engineering pipelines and other solutions, ensuring they are available for the data science and visualization team.
• Prototype solutions to explore business hypotheses in an agile and iterative manner, supporting a learn fast/fail fast methodology.
• Maintain and bring best practices in data engineering, machine learning engineering, and data-related technologies into the team. Stay updated with new developments and changes in the field.
• Ensure robust software engineering practices are adhered to by the team.

About you

• Proven track record in successfully completing cross-functional projects and managing stakeholders.
• Broad understanding of BI and analytics tools (e.g., Tableau, R, Python) and Microsoft SQL Server technologies (e.g., T-SQL, SSIS).
• Experience with programming languages (e.g., C family, Java, Scala, Julia) and applying analytics and data science techniques (e.g., predictive modeling, data mining).
• Expertise in data engineering, including data management design (e.g., data lakes, data warehouses) and cloud-based technologies (e.g., Azure Data Factory, DataBricks).
• Knowledge of the technology side of analytics and data science, including software engineering principles.

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.