At a Glance
- Tasks: Design and optimise scalable data pipelines using Snowflake, Python, and SQL.
- Company: Join a forward-thinking organisation transforming data analytics and AI.
- Benefits: Earn up to £450 per day with competitive benefits and flexible work arrangements.
- Other info: Fast interview process and opportunity for growth in a dynamic environment.
- Why this job: Play a key role in building a modern data platform and make a real impact.
- Qualifications: Strong Data Engineering experience with expertise in Snowflake and cloud platforms.
The predicted salary is between 40500 - 58500 £ per year.
We’re working with a forward-thinking organisation looking to hire a Senior Data Engineer to play a key role in scaling their Data Analytics & AI function. Must have strong Snowflake experience.
This is an exciting opportunity to help shape and build a growing data engineering capability, working on a modern cloud-based data platform with a strong focus on Snowflake.
The role:
- Design, build, and optimise scalable data pipelines and models
- Support the ongoing implementation and enhancement of a Snowflake-based data platform
- Enable high-quality data for analytics, reporting, and future AI/ML initiatives
- Drive best practices in data engineering, including CI/CD and data governance
- Collaborate closely with analytics and business teams to deliver impactful data solutions
Role Requirements:
- Strong hands-on Data Engineering experience
- Deep expertise in Snowflake (highly desirable)
- Experience building cloud-based data platforms
- Solid understanding of data modelling & governance
- Comfortable working in a growing, evolving environment
- Strong communicator with a collaborative mindset
Tech Stack:
- Snowflake (core platform)
- Python & SQL
- dbt (data modelling & transformation)
- Cloud services (AWS preferred)
- Data ingestion tools (e.g. Airbyte, Fivetran, Hevo)
- Reporting tools: (Power BI preferred)
Why Join:
- Opportunity to build and scale a data engineering function
- Play a key role in a modern data platform transformation
- Join a growing Data Analytics & AI team
- High-impact, hands-on role with real ownership
Logistics:
- Up to £450 per day
- Competitive benefits package
- 1 day per week in Oxford area (with some flexibility)
- Fast interview process
If you’re a Snowflake-focused Data Engineer looking for your next step in a high-growth environment, feel free to get in touch or apply directly.
No Sponsorship available.
Data Engineer in Banbury employer: develop
Join a forward-thinking organisation that values innovation and collaboration, offering a unique opportunity to shape and scale their Data Engineering function. With a hybrid work model allowing flexibility and a competitive benefits package, you'll thrive in a dynamic environment where your contributions directly impact the growth of the Data Analytics & AI team. This role not only provides hands-on experience with cutting-edge technologies like Snowflake but also fosters professional development and ownership in a supportive culture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Banbury
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, Python, and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've designed and optimised data pipelines in the past, and don’t forget to highlight your collaborative experiences with analytics teams.
✨Tip Number 4
Apply through our website! It’s the quickest way to get noticed. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on this opportunity to join a forward-thinking team!
We think you need these skills to ace Data Engineer in Banbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how you can contribute to our growing data engineering function. Keep it concise but impactful!
Showcase Your Collaboration Skills:Since we value teamwork, mention any experiences where you’ve worked closely with analytics or business teams. Highlighting your collaborative mindset will help us see how you fit into our culture.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at develop
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your hands-on experience with it, including any specific projects you've worked on. Highlight how you've optimised data pipelines or implemented best practices in data governance.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you've used these languages in past projects. Practising coding challenges can help you feel more confident.
✨Understand the Business Impact
Think about how your role as a Data Engineer contributes to the bigger picture. Be ready to discuss how your work enables high-quality data for analytics and supports AI/ML initiatives. This shows that you’re not just technically skilled but also understand the business side of things.
✨Be Ready to Collaborate
Since the role involves working closely with analytics and business teams, prepare examples of how you've successfully collaborated in the past. Emphasise your communication skills and your ability to work in a growing, evolving environment.
