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- Tasks: Design and optimise scalable data pipelines on a modern cloud-based platform.
- Company: Join a forward-thinking organisation with a focus on Data Analytics & AI.
- Benefits: Up to £65,000 salary, competitive benefits, and remote-first flexibility.
- Other info: Collaborative environment with opportunities for growth and ownership.
- Why this job: Shape the future of data engineering and make a real impact.
- Qualifications: Strong Data Engineering experience, especially with Snowflake, Python, and SQL.
The predicted salary is between 65000 - 65000 £ per year.
Location: Remote first (1 day per week in Oxford with Flexibility)
Salary: Up to £65,000 + Benefits
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. 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
- 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
- Snowflake (core platform)
- Python & SQL
- 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 £65,000
- Competitive benefits package
- 1 day per week in Oxford area (with some flexibility)
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.
Data Engineer in Oxford employer: develop
Contact Detail:
develop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect 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 engineering projects, especially those involving Snowflake. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with cloud-based platforms and how you've tackled data modelling challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on Data Engineering experience and expertise in Snowflake. 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 Analytics & AI team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Collaboration Skills: Since the role involves working closely with analytics and business teams, make sure to highlight any past experiences where you’ve successfully collaborated on data solutions. We value strong communicators who can work well in a team!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this exciting opportunity!
How to prepare for a job interview at develop
✨Know Your Snowflake Inside Out
Since the role heavily focuses on Snowflake, make sure you brush up on your knowledge of this platform. Be prepared to discuss your hands-on experience with it, including any specific projects where you've optimised data pipelines or implemented enhancements.
✨Showcase Your Data Modelling Skills
Data modelling is crucial for this position. Bring examples of how you've designed and governed data models in previous roles. Be ready to explain your thought process and how your models have supported analytics and reporting.
✨Communicate Clearly and Collaboratively
This role requires strong communication skills and a collaborative mindset. During the interview, demonstrate your ability to work with analytics and business teams. Share examples of how you've successfully collaborated on data solutions in the past.
✨Prepare for Technical Questions
Expect technical questions related to Python, SQL, and cloud-based platforms. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident.