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- Tasks: Design and build cloud-based ETL pipelines, ensuring data quality and enabling insights.
- Company: Exciting organisation investing in data with a collaborative culture.
- Benefits: Competitive salary, flexible budget, and opportunity for ownership.
- Why this job: Be the first Data Engineer and shape the platform from day one.
- Qualifications: Experience with AWS, Python, SQL, and modern data warehouses like Snowflake.
- Other info: Work in a dynamic team with real impact on a well-known brand.
The predicted salary is between 43000 - 52000 £ 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.
Senior Engineer, Data Engineering employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering 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 designing ETL pipelines or optimising workflows, 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 give you a better chance of landing that dream role. Plus, we’re here to support you every step of the way!
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AWS, Python, SQL, and any relevant data engineering projects to show us you’re the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this role and how you can contribute to our data team. Share specific examples of your past work that align with the responsibilities listed in the job description.
Showcase Your Projects: If you’ve worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical applications of your skills, especially in building ETL pipelines or working with Snowflake.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 and how they contributed to successful outcomes.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in building and maintaining data pipelines. Think about times when you optimised workflows or ensured data quality. This will demonstrate your ability to think critically and work autonomously.
✨Communicate Clearly
As a Data Engineer, you'll need to collaborate with Analysts and Data Scientists. Practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical team members, which is crucial for success in this role.
✨Emphasise Your Ownership Mindset
This role is all about shaping best practices rather than just maintaining existing systems. Be prepared to discuss how you’ve taken ownership in previous roles and how you plan to bring that same mindset to this position. Highlight your enthusiasm for building things properly and making a real impact.
