Job Description
Contract Type: Permanent
Location: Alderley Park (Wilmslow) or Glasgow
Working Style: Hybrid 50% home/office based
We have a fantastic opportunity for an experienced Data Engineer to join Royal London’s Analytics Engineering Team within our Group Data & AI Office function. As a Data Engineer you 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. Supporting the Senior Data Engineers in their role as technical lead for the team, helping to set and maintain technical standards. We value great communication skills, as you’ll be interacting with internal business areas as an SME for data, tooling and the technical practice around data engineering, analytics, data science and machine learning.
The purpose of the Analytics Engineering team is to create business value through delivery of specific Analytics, Data Science, Machine Learning and Artificial Intelligence projects and initiatives. These initiatives will create insights, answer key business questions, solve business problems, and support decision making at all levels of the organisation. This team supports the other teams within the Analytics & Insight function, providing them with a Data and Analytics service to support their insight activities. The team will also act as a Centre-of-Excellence in Analytics and Data Science, helping to take forward the Group’s capability in these areas and our ambition to become “Data Led”.
This role is suited to an experienced Data Engineer who has worked on large enterprise data programmes, with advanced experience of Databricks and data analytics.
More about the role:
- Source and prepare data for use in Business Intelligence (BI), Analytics, Data Science and Generative AI projects and initiatives.
- Source, evaluate, interpret, model, and manage multiple disparate data sources.
- Understand, own, and manage the team’s data – working with business, technology, and external partners.
- Design, develop and manage the deployment of data pipelines in our cloud platforms (Databricks, primarily), and help the manage heritage on-premises (SQL Server primarily) pipelines and the migration of these.
- Prototype solutions to explore business hypothesis in an agile and iterative way which supports a learn fast/fail fast methodology.
- Productionise data pipelines created by the team through CI/CD so that they are available for consumption for the business, data science, and data visualisation teams, respectively.
- Maintain knowledge of data engineering and machine learning engineering practices including keeping abreast of new developments and changes in the field.
- Maintain knowledge of data-related technologies and practices.
- Help to ensure that robust software engineering practices are adhered to by the team.
More about you:
- Advanced experience of cloud-based Data and Analytics platforms and technologies, Databricks knowledge is essential and some exposure to experience of Fabric and/or Snowflake would be advantageous.
- Advanced experience in data engineering and application of data management design patterns.
- Ideally will have experience in creating Genie Agents, configuring data assets for Natural Language Querying and using Metric Views to create semantic layers.
- Experience of programming languages: SQL, python & pySpark etc.
- Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents.
- A proven track record in working in cross-functional projects to a successful conclusion.
- Experience of managing stakeholders.
- A broad understanding of BI and analytics tools, such as PowerBI, Tableau & R.
- Some understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS, would be useful.
- Knowledge of the technology side of Analytics and Data Science, including principles of software engineering.
If you think you would be a great fit for our team at Royal London but don’t meet all the requirements of the role, please get in touch as your application will still be considered.
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.
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
We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services.
Royal London is a purpose-driven mutual. Our Purpose, ‘Protecting today, investing in tomorrow. Together we are mutually responsible’, defines the impact we want to have. It shapes what we do on behalf of our members and customers, financial advisers, our colleagues and the communities in which we operate. Our People Promise is our collective commitment that our workplace will be inclusive, responsible, enjoyable and fulfilling where all colleagues can thrive and experience a sense of belonging. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.
Our inclusive values and people promise are core to who we are and how we work. It’s good for our people, and good for our customers too, because with an inclusive workplace and a diverse workforce we will reflect our members, customers and communities to deliver the best outcomes.
We celebrate and value different backgrounds and cultures across our organisation. Our diverse people and perspectives give us a range of skills which are recognised and respected– whatever their background.
Workplace Initiatives
Program for parents returning to work after Parental Leave? |
No |
Leadership development programmes? |
Yes |
Mentoring programmes? |
Yes |
Coaching programmes? |
Yes |
Employee-led diversity networks? |
Yes |
Internal women’s networking groups? |
Yes |
Open to discussing flexible work arrangements at interview stage? |
Yes |
No. of weeks paid maternity leave at full salary: |
26 weeks (followed by 13 weeks half pay) |
Minimum weeks tenure required to be eligible for paid maternity leave: |
Open to all regardless of length of service |
No. of weeks paid paternity leave at full salary: |
4 weeks |
Minimum tenure required to be eligible for paid paternity leave: |
Open to all regardless of length of service |
Gender pay gap reporting information 2022: |
|
Mean pay gap: |
35.3% |
Median pay gap: |
33.9% |
Mean bonus gap: |
70.4% |
Median bonus gap: |
48.5% |
Signatory of the UK Women in Finance Charter? |
Yes |
Targets to raise the number of women in leadership? |
Yes |
Targets to raise the number of BAME individuals in leadership? |
No |
Listed in the Bloomberg Diversity & Inclusion Index? |
No |
Graduate Programmes
We have a number of graduate programmes designed to deliver technical experts and future leaders.
Royal London Career Confidence programme
Our hybrid programme focuses on equipping you to feel empowered in your career and supported to explore new opportunities as they arise.
Apprenticeships
We offer a wide range of Apprenticeships that are targeted at both new joiners and existing colleagues.
Inclusion
We promote an inclusive culture at Royal London and have a range of inclusion networks for our colleagues to get involved with.
Our Women's Network is a community that celebrates and supports its members, helps everyone to learn more and inspires all of us to aim higher. Confidence and development are strong themes here and our events focus on three key areas of team working, finance, and wellbeing. There are two sub-groups to the Women’s Network – Women in Technology and our Periods and Menopause Group – focused on actions such as supporting over 20 new Periods and Menopause champions and launching guidance and training for leaders.