Rodeo
ResourcesPartnersSign in

Royal London

Data Engineer

Alderley Edge
Posted about 23 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Job Title: Data Engineer

Contract Type: Permanent
Location: Alderley Park (Wilmslow) or Glasgow
Working Style: Hybrid 50% home/office based

We have a fantastic opportunity for a 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. 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.

The Purpose of the Analytics Engineering Team

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”.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

More about the Role

  • Source and prepare data for use in Business Intelligence (BI), Analytics and Data Science projects and initiatives.
  • Source, evaluate, interpret, and manage multiple disparate data sources.
  • Understand, own, and manage the team’s data – working with business, technology and external partners.
  • Design and develop data pipelines, from both the on-premises and cloud platforms.
  • 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 data science and data visualisation team.
  • 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

  • Experience in data engineering and application of data management design patterns, such as data lakes and data warehouses.
  • Experience of programming languages: SQL, Python & pySpark etc. or equivalents.
  • Experience of development practices: the use of versioning tools such as GitHub, work tracking tools such as Azure DevOps, or equivalents.
  • Experience of cloud-based Data and Analytics technologies, including a minimum of one of: Databricks, Snowflake, Azure Data Factory / Fabric.
  • 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.
  • Good understanding of Microsoft SQL Server technologies, such as T-SQL and SSIS.
  • Knowledge of the technology side of Analytics and Data Science, including principles of software engineering.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

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. 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.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Data Engineering
Data Management
SQL
Python
PySpark
GitHub
Azure DevOps
Databricks
Snowflake
Azure Data Factory
Business Intelligence
PowerBI
Tableau
Microsoft SQL Server
Software Engineering

Location

Alderley Edge, England, United Kingdom

Sign up to applySee more jobs like this