At a Glance
- Tasks: Build and maintain data pipelines using cutting-edge tech and AI tools.
- Company: Join CDL, a leading software house in the UK insurance sector.
- Benefits: Enjoy hybrid working, competitive salary, and excellent career progression opportunities.
- Other info: Participate in fun social events and enjoy a vibrant workplace culture.
- Why this job: Make an impact with innovative data solutions in a collaborative environment.
- Qualifications: Experience with SQL, AWS, and a passion for data engineering.
The predicted salary is between 40000 - 45000 £ per year.
Intermediate Data Engineer
Department
Insurance Retail
Employment Type
Permanent - Full Time
Location
North West UK - Hybrid
Compensation
Description
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!
What You'll Do
- Building, testing, monitoring and maintaining data pipelines and infrastructure to support the Data Platform using best practices including CI/CD, Ia C and Dev Ops.
- Apply security best practices across data pipelines, cloud infrastructure and operational processes, ensuring data is protected through appropriate access controls, encryption, monitoring and secure engineering practices
- Use AWS services and Postgre SQL/AWS RDS knowledge to design, deliver and support scalable, reliable and secure data solutions, ensuring appropriate governance, resilience and protection of business data.
- Actively embrace AI-assisted engineering practices and demonstrate a willingness to learn, experiment with and responsibly adopt emerging AI tools such as Kiro, Git Hub Copilot or equivalent technologies to improve delivery flow, quality, documentation, analysis and operational efficiency.
- Develop and maintain automated deployment, testing and operational workflows using Git Lab pipelines, version control, Terraform/Open Tofu and scripting.
- Contribute to data quality, lineage, governance and observability practices to ensure data is trusted, traceable, secure and supportable throughout its lifecycle.
- Investigate data quality, platform reliability, pipeline performance and operational issues, identifying practical improvements, preventative actions and automation opportunities that enable squads to move faster and more safely.
- Working with business stakeholders, analysts and architects to understand business and technical requirements, designing data models and data structures that support reporting, analytics and operational use cases.
- Contribute to database and data platform activities such as upgrades, data migrations, schema updates and platform modernisation initiatives.
- Documenting processes and products, sharing knowledge across the squad and wider business, and supporting the development of less experienced engineers through mentoring, pairing or technical guidance where appropriate.
- Contribute significantly to small-to-medium feature deliveries and multi-person initiatives, collaborating with engineers and stakeholders to deliver reliable outcomes.
About You
- Hold, or be willing to obtain, a relevant AWS certification that can be registered against the CDL APN.
- Proven experience working with AWS services relevant to data engineering and operational support, such as RDS, S3, Lambda, ECS, EC2, VPC, Cloud Watch and related services.
- Experience with My Sql and Oracle databases would be advantageous.
- Strong SQL skills, including Postgre SQL experience, query optimisation awareness and the ability to investigate data or performance issues.
- Good understanding of security principles including least-privilege access, encryption, secrets management, vulnerability remediation and secure handling of sensitive data.
- Experience with CI/CD pipelines, automated testing and deployment practices using Git Lab or similar tooling.
- Experience with Infrastructure as Code tools such as Terraform, Open Tofu or Cloud Formation.
- Good understanding of version control workflows, branching strategies and Git Lab best practice.
- Experience of, or a strong willingness to learn, AI-assisted engineering tools such as Kiro, Git Hub Copilot or similar technologies to improve engineering effectiveness and delivery outcomes.
- Familiarity with observability and troubleshooting tooling such as Dynatrace, Open Search/Elasticsearch or Cloud Watch logs.
- Ability to communicate clearly, analyse problems, work collaboratively and explain technical concepts to both technical and non-technical stakeholders.
- Familiarity with Agile methodologies and operational tooling such as Jira and Service Now.
- What You’ll Get
- Salary
- The salary for the role of
Intermediate Data Engineer pays up to £45,000p. a. (Level 4) providing a fantastic opportunity for career progression through CDL’s clearly defined career framework https://progression. cdl. co. uk/.
Your growth and advancement within CDL are only limited by your own ambition and effort.
Benefits
- Hybrid Working (2 Days a Week in the office - SK4 2HD)
- Flexible working.
- 25 days holiday to start, increasing by 1 day per 1 year of service up to 30 days.
- Top employer for 10th year running
- Excellent training and development platform
- Opportunities for career progression
- Health and Wellbeing Programme
- Virtual activities, lunch and learns, coffee mornings and meetups.
- Life and health assurance
- Electric Vehicle Scheme
- Established Recognition Award System
- Great Parental Benefits
- Diversity and Inclusion network
- Pension scheme
- Community projects and volunteer days
- Refer a friend bonus
Campus Benefits
- On-site free parking
- Open plan modern offices
- Quiet Spaces are also available
- Shuttle bus to and from the station
- Subsidised restaurant
- Games room, pool & table-tennis tables and chill out zone
- Annual Hackathon & Deep Racer Events
- Social activities, regular social events through our social group Xtra, including a summer BBQ, competitions, bowling, go-karting, football games, Winter party and much more!
- Car wash, barber, yoga classes, boot camp and massage services all on site
- Cycle to work scheme
- Shower and dry rooms
Diversity and inclusion
We’re on a journey to keep innovating, that means welcoming new ideas and ways of thinking.
CDL recognises that building a diverse workforce is critical to the success of our business.
We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants.
#J-18808-Ljbffr
Intermediate Data Engineer in Cheadle employer: CDL Group
CDL Group is an exceptional employer that fosters a collaborative and innovative work culture, particularly within our dynamic Insurance Retail team in the North West UK. We prioritise employee growth through continuous learning opportunities and support for Agile methodologies, ensuring that you can thrive while contributing to cutting-edge AI solutions. With a commitment to responsible AI practices and a focus on meaningful projects, working here means being part of a forward-thinking organisation that values your contributions and career development.
StudySmarter Expert Advice🤫
We think this is how you could land Intermediate Data Engineer in Cheadle
✨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 CDL Group!
✨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 Intermediate Data Engineer at CDL Group.
✨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 CDL Group.
✨Apply Directly through Our Website
When you find a suitable opening like Intermediate Data Engineer at CDL Group, 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 Intermediate Data Engineer in Cheadle
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 CDL Group, 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 CDL Group. 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 CDL Group
✨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 CDL Group!
✨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.
