At a Glance
- Tasks: Build and improve automated data solutions using SQL, scripting, and AWS.
- Company: Join CDL, a leading software development house in the UK insurance sector.
- Benefits: Enjoy a collaborative culture, competitive salary, and opportunities for growth.
- Other info: Be part of a creative team focused on continuous improvement and knowledge sharing.
- Why this job: Make an impact with AI-driven solutions in a dynamic and innovative environment.
- Qualifications: Experience in data engineering, SQL, and modern DevOps practices required.
The predicted salary is between 63000 - 77000 £ per year.
We're seeking an Intermediate Data Engineer to join our Insurance Retail department, supporting development squads with reliable, automated and cloud-ready data solutions.
This role is suited to someone who can combine strong SQL, scripting and AWS experience with modern Dev Ops practices to build, maintain and improve data pipelines, data services and supporting infrastructure.
AI is a key part of the role.
You will be expected to use AI-assisted engineering tools responsibly to accelerate development, improve documentation, support analysis and identify opportunities to automate repeatable data engineering and operational tasks.
Working closely with engineers, analysts, architects and stakeholders, you will help turn data requirements into maintainable, observable and secure solutions.
You will maintain awareness of industry and technology developments, contribute to technical discussions, and support continuous improvement across data engineering, automation and operational practices.
The role includes ownership of work throughout its lifecycle, from development and testing through to production support, incident resolution, continuous improvement and knowledge sharing across the department.
About CDL
CDL is one of the UK's leading software development houses, employing over 600 people at its campus in Stockport.
It has a consistent history in the high-volume retail insurance sector.
CDL has spearheaded developments in the aggregator, web and telematics space, including connected home, enrichment and self-service solutions.
As a result, the company's robust and innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace.
We have built a collaborative and creative culture, leveraging AI-driven solutions to enhance our products, processes and decision-making.
We pride ourselves on cultivating an inspiring working environment with our employees at the heart of our company.
In a nutshell we are the market leading software house in our industry, creating the software, websites & apps for the Insurance & Finance sector across the UK.
If you were to go on a price comparison website, approximately 65% of the companies on there are our clients!
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Intermediate Data Engineer in Stockport employer: cdlsoftware
At cdlsoftware, we pride ourselves on being an excellent employer, offering a dynamic and collaborative work environment in Stockport. Our commitment to employee growth is reflected in our comprehensive training programmes and opportunities for career advancement, all while fostering a culture of innovation and teamwork. Join us to be part of a market leader in the software development sector, where your contributions are valued and rewarded.
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We think this is how you could land Intermediate Data Engineer in Stockport
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We think you need these skills to ace Intermediate Data Engineer in Stockport
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
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✨Get Comfortable with Python and R
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✨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.
