Data Engineer

Royal London Mutual Insurance Society; City of Edinburgh; Hybrid; GBP 40,000 - 80,000; Full time

Job description

Job Title: Data Engineer

Contract Type: Permanent

Location: Edinburgh, Glasgow, Alderley Park

Working style: Hybrid 50% home/office based

We currently have a fantastic opportunity for a Data Engineer to join our Royal London Group Data Office Team (GDO). The successful candidate will define, manage, and deliver the data, tools and other technical assets to enable analytics, data science, and Machine Learning projects. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. Support the Senior Data Engineer in their role as technical lead for the team, helping to set and maintain technical standards. Act as an internal SME to the team for data, tooling and the technical practice around data engineering, analytics, data science and machine learning.

About the role

1. Source and prepare data for use in Business Intelligence (BI), Analytics, and Data Science projects and initiatives.
2. Engage with stakeholders and subject matter experts (SMEs) to identify new opportunities to apply these techniques.
3. Source, evaluate, interpret, and manage multiple disparate data sources.
4. Understand, own, and manage the team's data - working with business, technology, and external partners. Play a lead role in the strategic evolution of the data model to meet business needs.
5. Design and develop data pipelines for cloud platforms.
6. Design and develop analytics tools that can be used by the team and by wider business users.
7. Prototype solutions to explore business hypotheses in an agile and iterative way, supporting a learn fast/fail fast methodology.
8. Deploy and productionize data pipelines created by the team through CI/CD so that they are available for consumption by the data science and data visualization team.

About you

1. A proven track record in working in cross-functional projects to a successful conclusion.
2. Experience of managing stakeholders.
3. A broad understanding of BI and analytics tools, such as Tableau, R, and Python.
4. Good understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS.
5. Experience in data Engineering and application of data management design, such as data lakes and data warehouses.
6. Experience of Cloud-based Data and Analytics technologies, including Azure Data Factory and DataBricks.
7. Knowledge of the technology side of Analytics and data Science, including the principles of software engineering.
8. Higher level degree (PhD, MSc etc.) in subject area with significant mathematical or computer science content or degree level qualification plus relevant experience.
9. The ability to work collaboratively and build good working relationships within an Agile environment.
10. Good communication, influencing, and presentation skills with the ability to effectively present complex technical concepts and results to people with a wide range of backgrounds and experiences.
11. A drive to ensure continuous improvement and effective management of risk.

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, and up to 14% employer matching pension scheme and private medical insurance.

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.