Senior Data Engineer (Finance/Life Insurance)

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.