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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 - 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.
Ingegnere dei dati (f/m) employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨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 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 some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of standing out from the crowd.
We think you need these skills to ace Ingegnere dei dati (f/m)
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. We want to see how you can shape our data platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're excited about this role and how your background makes you the perfect fit. We love seeing passion and personality, so let us know what drives you in the data world.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We’re keen to see how you’ve built and maintained data pipelines or optimised workflows. Real examples speak volumes!
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. Plus, it shows you’re serious about joining 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 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 highlight your communication skills and your ability to collaborate effectively within a small team.
✨Demonstrate Ownership and Autonomy
Since this is the first Data Engineer role in the company, they’ll be looking for someone who can take initiative. Prepare examples of how you've taken ownership of projects in the past and how you’ve shaped best practices. This will show that you're ready to make a significant impact from day one.
