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- Tasks: Design and build cloud-based data 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 future of data in the company.
- Qualifications: Experience with AWS, Python, SQL, and modern data warehouses like Snowflake.
- Other info: Work in a dynamic team with real impact from day one.
The predicted salary is between 43000 - 51000 £ per year.
Data Engineers - Build the data foundations for a well-known, high-profile brand.
This is a newly created Data Engineer role within a recognised and exciting organisation that’s investing seriously in data. You’ll 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’ll 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
- £50–60k 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 employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AWS, Python, and SQL. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building ETL pipelines or working with APIs, as this will show your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes put you ahead of the competition. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with AWS, Python, SQL, and any work with Snowflake or similar data warehouses. We want to see how you can shape our data platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data engineering. Explain why you're excited about this role and how your background makes you a perfect fit. Don’t forget to mention your love for autonomy and ownership!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your skills in action, especially those involving ETL pipelines and data ingestion.
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. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Cognify Search
✨Know Your Tech Stack
Make sure you’re familiar with the modern data stack mentioned in the job description. Brush up on your AWS, Python, SQL, and Snowflake skills. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've built and maintained data pipelines or solved data quality issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨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 show that you can be a clear communicator and a team player.
✨Demonstrate Ownership and Autonomy
Since this role involves shaping best practices, be prepared to discuss times when you've taken ownership of a project. Share how you approached challenges independently and what the outcomes were.
