Senior Data Engineer (Finance/Life Insurance)

At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

We partner with M&G to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

On behalf of M&G, AMS are looking for a Senior Data Engineer (Finance/Life Insurance) based in the Reading, Edinburgh or Stirling office (2 days per week in the office) for a 6 month contract.

Job description - the role

The Data Engineer is responsible for designing, building, and optimising data solutions that enable reliable and efficient access to data for use in actuarial modelling and assumption setting.

The Data Engineer will provide specialist expertise in data engineering, ensuring scalable, high-quality data pipelines and architectures are in place to support the use of policyholder data for actuarial modelling and assumption setting.

The role contributes to shaping engineering standards and best practices, ensuring data is accessible, governed and aligned with business priorities.

Candidate Profile: Key accountabilities, skills & experience

What you'll do:

• Design, build and maintain scalable data pipelines and data architectures to validate and transform data to meet actuarial modelling needs.
• Ensure data quality, integrity, and consistency through robust validation, monitoring, and governance practices.
• Collaborate with stakeholders to understand data requirements and translate them into efficient and effective technical solutions.
• Optimise data systems and processes to improve performance, reliability, and scalability.
• Provide technical expertise and guidance on data engineering approaches, tools, and best practices.
• Support integration of multiple data sources to create cohesive, accessible, and trusted datasets.
• Contribute to the continuous improvement of data platforms, frameworks, and engineering standards.
• Lead the work of other data engineers and analysts to ensure consistency and high standards across the team, including people management as required.

The skills you'll need:

• Strong expertise in data engineering concepts, including data pipelines, storage and transformation.
• Proficiency in data engineering tools, programming languages, and database technologies.
• Experience in performance tuning and optimisation.
• Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark).
• Data modelling and architecture (in Azure Databricks).
• Understanding of data governance, security, and data quality management principles.
• Ability to design scalable and efficient data solutions aligned to business needs.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Experience working in Financial Services or a similar heavily regulated environment.
• Experience in Life Insurance (desirable).

Next steps

We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.