At a Glance
- Tasks: Design and deliver enterprise-scale data solutions using Microsoft technologies.
- Company: Join a collaborative, high-performing team in a growing enterprise.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with opportunities to influence the evolution of our data platform.
- Why this job: Make a real impact on meaningful data initiatives and technical solutions.
- Qualifications: 5+ years in Data Engineering, strong SQL skills, and experience with ETL pipelines.
The predicted salary is between 63000 - 77000 £ per year.
Location
- Hybrid, with ad hoc travel to our Marlow office
- Are you an experienced
Data Engineer looking for an opportunity to shape and enhance a growing enterprise data platform?
We're looking for a talented Data Engineer to join our Data Services team, working with Microsoft technologies to design, develop and support scalable data solutions that drive better business decisions and improve customer outcomes.
Working closely with Architects, Senior Engineers and business stakeholders, you'll take ownership of solutions from concept through to implementation, translating business requirements into robust technical solutions while solving complex data challenges.
- What you'll be doing
- Design and deliver enterprise-scale data solutions using Microsoft technologies
- Develop and maintain ETL/ELT data integration pipelines
- Work directly with stakeholders to analyse, challenge and refine requirements
- Translate business needs into sustainable technical solutions
- Investigate and resolve complex data and integration issues
- Collaborate with Data Science, Digital and Core Systems teams
- Participate in Agile ceremonies, peer reviews and quality assurance activities
- Produce technical documentation and support materials
- Ensure solutions align with data governance, security and regulatory standards
- Drive continuous improvement across engineering practices, tooling and processes
What we're looking for
- 5+ years' experience in Data Engineering and Business Intelligence
- Strong experience with SQL Server, SSIS, SSAS and SSRS
- Advanced SQL skills including T-SQL and DAX
- Experience building ETL and ELT data pipelines
- Strong understanding of data warehousing, data modelling and data architecture
- Excellent analytical and problem‑solving skills
- Experience working closely with business stakeholders
- Ability to work independently and manage competing priorities
- Strong communication and stakeholder management skills
- Experience working within Agile delivery environments
- Nice to have
- Experience within Financial Services, Mortgages or another regulated environment
- Experience working with APIs, JSON and XML
- Python, C# or Power Shell knowledge
- Git, branching strategies and Dev Ops practices
- Infrastructure as Code experience including Bicep, YAML and CI/CD pipelines
- Microsoft or Azure Data certifications
You’ll become part of a collaborative, high-performing team where you’ll have the opportunity to work on meaningful data initiatives, influence technical solutions and contribute to the continued evolution of our data platform.
If you’re passionate about data, enjoy solving complex problems and want to work in an environment where your ideas and expertise make a real impact, we’d love to hear from you.
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Data Engineer in Marlow employer: Kensington Mortgages
Kensington is an exceptional employer that values innovation and collaboration within its Information Security team. With a hybrid working model based in Marlow, employees benefit from a supportive work culture that encourages professional growth and development, alongside opportunities to engage with cutting-edge technologies. Join us to make a meaningful impact on our cyber security posture while enjoying a dynamic and inclusive workplace.
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We think this is how you could land Data Engineer in Marlow
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We think you need these skills to ace Data Engineer in Marlow
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!
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✨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!
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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.
