Data Engineer (Databricks) in Reading

Data Engineer (Databricks) in Reading

Reading Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
M&G

At a Glance

  • Tasks: Build and maintain data pipelines for policyholder data transformation and validation.
  • Company: Join M&G, a leading financial services company with over 175 years of innovation.
  • Benefits: Enjoy competitive pension, 38 days annual leave, and flexible working arrangements.
  • Other info: Inclusive culture welcoming diverse backgrounds and offering excellent career growth.
  • Why this job: Make a real impact in data engineering while supporting strategic decision-making.
  • Qualifications: Experience in data pipelines, SQL, and strong problem-solving skills required.

The predicted salary is between 63000 - 77000 £ per year.

At M&G, our purpose is to give everyone real confidence to put their money to work.

With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through 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.

We will consider flexible working arrangements for any of our roles and offer workplace adjustments to ensure you have the support you need to succeed in your role.

The Role

A new solution for the validation and transformation of policyholder data used in actuarial modelling and assumption setting is being built.

This role will build and maintain data pipelines to take policyholder data and transform and validate it for use in actuarial models.

These data systems need to be robust, reliable, efficient, and meet actuarial modelling and assumption setting requirements.

The Data Engineer supports the delivery of high-quality data solutions that underpin actuarial valuation and reporting, and strategic decision-making.

Working collaboratively with stakeholders, the role ensures data is structured, governed, and transformed for actuarial use.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines that validate and transform data to meet actuarial modelling requirements.
  • Implement checks and controls to ensure actuarial input data is complete, accurate, reconciled and available when required.
  • Collaborate with stakeholders to understand data needs and translate them into effective technical solutions.
  • Work with data suppliers to ensure data loads are complete and controlled.
  • Work with suppliers and actuarial users to resolve data exceptions
  • Monitor and optimise data performance, resolving issues and improving efficiency where needed.
  • Contribute to data governance, including documentation, standards, and controls.
  • Maintain runbooks or support documentation
  • Works independently on well-defined deliverables and escalates material risks and issues appropriately

Key Knowledge, Skills and Experience

  • Strong understanding of data structures, databases, and data modelling concepts.
  • Experience working with data transformation, validation and storage processes.
  • Ability to manage and process large datasets with attention to accuracy and quality.
  • Familiarity with data governance and best practices in data management.
  • Strong problem-solving skills and the ability to work collaboratively across teams.
  • Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence
  • Clear communication with both technical and non-technical stakeholders.
  • Proactive approach to identifying and resolving issues.
  • Commitment to continuous improvement and delivering high-quality outcomes.

Essential Skills

  • Experience working on data pipelines
  • SQL
  • Data management and modelling
  • Desirable Skills
  • Azure Databricks
  • Spark
  • Spark SQL
  • Python/Py Spark
  • Close Date: 3rd August 2026

What we offer

  • A valuable pension scheme of up to 18% (13% made up of employer contributions and 5% employee contributions).
  • Access to our Share Save and Share Incentive Plan, alongside financial wellbeing and support services to help give you real confidence to put your money to work.
  • Enjoy 38 days annual leave (including bank holidays), with the opportunity to purchase up to five extra days.

Our Time Off When You Need It policy gives you the flexibility - to balance work and personal commitments.

  • Our market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - because supporting families is an important part of our inclusive culture.
  • Health & Protection cover includes Private Healthcare, Critical Illness cover and Life Assurance for you, with additional family options - for peace of mind.
  • To explore more about life at M&G and our full benefits offering, visit
  • Life at M&G

At M&G we strive to have a diverse workforce and an inclusive culture, underpinned by our policies and employee-led networks that offer networking, support and development opportunities for the diverse communities our colleagues represent.

We welcome applications from people of all backgrounds - across gender, ethnicity, age, disability, sexual orientation and more - including neurodivergent individuals, career returners and those with military service experience.

M&G is proud to be

Level 3

Disability Confident Leader under the UK Government Disability Confident employer scheme, and we welcome applications from candidates with disabilities and long-term health conditions.

If you would like to participate in the initiative, you will have the opportunity to indicate this on your application.

We are committed to providing an inclusive recruitment process.

All candidates have the opportunity to request reasonable adjustments when applying.

  • If you need any additional support at any stage, please contact us at: careers@mandg. com
  • #J-18808-Ljbffr

Data Engineer (Databricks) in Reading employer: M&G

M&G is an excellent employer, offering a dynamic work culture that values diversity and inclusion while fostering collaboration across geographically distributed teams. With a strong focus on employee growth and development, the company provides ample opportunities for professional advancement in the vibrant city of Edinburgh, making it an ideal place for those seeking meaningful and rewarding employment in technology delivery.

M&G

Contact Details:

M&G Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer (Databricks) in Reading

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like M&G!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer (Databricks) at M&G.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like M&G.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer (Databricks) at M&G, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer (Databricks) in Reading

SQL
Python
Problem-Solving Skills
Communication Skills
Automation
Data Engineering
Data Pipeline Development

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at M&G, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at M&G. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at M&G

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at M&G!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.