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- Tasks: Design and build cloud-based ETL pipelines, transforming data for insights.
- Company: Exciting organisation investing in data with a collaborative culture.
- Benefits: Competitive salary, flexible working, and the chance to shape your role.
- Why this job: Be the first Data Engineer and make a real impact from day one.
- Qualifications: Experience in cloud data pipelines, strong Python and SQL skills required.
- Other info: Join a dynamic team with excellent growth opportunities and modern tech.
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 in England employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in England
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AWS, Python, and SQL. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering challenges. Be ready to discuss how you've tackled similar issues in the past, especially around ETL processes and data quality.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Engineer, Data Engineering in England
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. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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 built or maintained data pipelines, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering. Whether it’s optimising workflows or ensuring data quality, having concrete examples will demonstrate your ability to think critically and work autonomously, which is key for this role.
✨Communicate Clearly
Since you'll be working closely with Analysts and Data Scientists, practice explaining complex technical concepts in simple terms. This will highlight your communication skills and show that you can collaborate effectively within a small, agile team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they envision the role evolving. This not only shows your genuine interest but also gives you a chance to assess if the company aligns with your career goals and values.
