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- Tasks: Design and build cloud-based ETL pipelines to power insights for a high-profile brand.
- Company: Exciting organisation investing in data with a collaborative culture.
- Benefits: Competitive salary, flexible budget, and opportunities for professional growth.
- Why this job: Be the first Data Engineer and shape the data platform from the ground up.
- Qualifications: Experience with AWS, Python, SQL, and modern data warehouses like Snowflake.
- Other info: Work in a dynamic team with real impact and visibility from day one.
The predicted salary is between 42000 - 60000 £ per year.
A newly created Data Engineer role within a recognised and exciting organisation that is investing seriously in data. You will be the first dedicated Data Engineer in the business, playing a pivotal role in shaping how data is ingested, transformed, and used to power insights across the organisation. You will work closely with Analysts and Data Scientists in a small, collaborative data team, with real visibility and impact from day one.
If you enjoy building things properly, working with a modern data stack, and want ownership rather than maintenance work — this is a standout opportunity.
What you’ll be doing:
- Designing, building, and maintaining cloud-based ETL pipelines on AWS
- Ingesting data from APIs, web sources, and internal systems into Snowflake
- Optimising and automating Python and SQL workflows for performance and reliability
- Ensuring data quality, consistency, and trust across the organisation
- Maintaining clear documentation, Git-based version control, and automated deployment pipelines
- Working closely with Analytics and Data Science to enable insight and decision-making at scale
What we’re looking for:
- Experience building and maintaining data pipelines in a cloud environment (AWS preferred)
- Strong Python and SQL skills
- Hands-on experience with Snowflake (or similar modern data warehouses)
- Comfort working with APIs and multiple data sources
- Someone who enjoys autonomy, ownership, and shaping best practice
- Clear communicator who enjoys working in a small, agile data team
Why this role stands out:
- First Data Engineer hire – shape the platform, not just inherit it
- Modern tech stack – no legacy baggage
- High-impact role – your work directly enables insight across the business
- Well-known brand with strong momentum and ambition
- £50,000 – £60,000 budget with flexibility for the right person
Our client requires someone who can be in the office 3 days per week. This role does not offer sponsorship. Our client would consider UK based relocators with the right to work in the UK.
Data Engineer in England employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio that highlights your experience with data pipelines, Python, and SQL. This can really set you apart during interviews.
✨Tip Number 3
Be ready to discuss your thought process. When you're asked about past projects, explain how you approached challenges and what solutions you implemented. It shows your problem-solving skills!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes tracking your application easier for both of us.
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with cloud environments, Python, SQL, and any work with Snowflake. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're excited about this role and how you can contribute to our data team. Be genuine and let your personality come through — we love that!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building ETL pipelines or optimising workflows, we want to know what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Cognify Search
✨Know Your Tech Stack
Make sure you’re well-versed in the modern data stack mentioned in the job description. Brush up on your AWS, Python, SQL, and Snowflake skills. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced while building or maintaining data pipelines. Think of examples where you optimised workflows or ensured data quality. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Communicate Clearly
As a Data Engineer, you'll need to work closely with Analysts and Data Scientists. Practice explaining complex technical concepts in simple terms. This will not only help you during the interview but also show that you can be an effective communicator within a small, agile team.
✨Emphasise Ownership and Autonomy
This role is all about shaping the platform rather than just maintaining it. Share experiences where you took ownership of a project or initiative. Highlight your ability to work independently and how you’ve contributed to best practices in previous roles.
