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For Companies At a Glance
- Tasks: Lead data engineering projects and mentor junior engineers in a collaborative environment.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Earn up to £75,000 with hybrid working and career growth opportunities.
- Why this job: Shape the future of data science and AI while working on exciting projects.
- Qualifications: Proven experience in data engineering and strong leadership skills.
- Other info: Work in a dynamic team and influence data strategy.
The predicted salary is between 45000 - 105000 £ per year.
Please note - this role will require you to attend the Oxfordshire based office at least one day per week. To be eligible for this role you must have the unrestricted right to work in the UK - this client is not able to offer sponsorship.
A highly skilled Senior Data Engineer is required to join a growing team. This is a hands‑on role where the successful candidate will lead by example, manage junior team members, and set best‑practice standards for data engineering across the organisation. The position involves playing a key role in an exciting project to migrate an existing Azure data platform into Databricks, while also handling day‑to‑day data engineering responsibilities. Longer term, the role will focus on shaping the approach to data science and AI technologies, ensuring the organisation remains ahead of the curve.
Key Responsibilities
- Lead and mentor junior data engineers, fostering a culture of excellence and collaboration.
- Define and implement best practices for data engineering processes and standards.
- Drive the migration of the Azure data platform into Databricks.
- Design, build, and maintain robust data pipelines and solutions.
- Collaborate with stakeholders to ensure data solutions meet business needs.
- Explore and integrate data science and AI technologies into future projects.
Skills & Experience
- Proven experience as a hands‑on Data Engineer in a senior capacity.
- Strong expertise in SQL Server and the Azure data platform (Data Factory, Synapse, etc.).
- Experience with Databricks (or strong willingness to learn).
- Solid understanding of data architecture, ETL processes, and performance optimisation.
- Excellent leadership and communication skills.
What’s Offered
- Competitive salary up to £75,000.
- Hybrid working model – 1 day per week on‑site in Banbury.
- Opportunity to work on cutting‑edge projects and influence the future of data strategy.
- Professional development and career growth in data engineering and AI.
To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.
Senior Data Engineer - Oxfordshire - £75,000 in Banbury employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Oxfordshire - £75,000 in Banbury
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at companies you're interested in. A personal referral can make all the difference!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Be ready to discuss your experience with Azure and Databricks, as well as how you can lead and mentor others.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, having tangible examples of your work can really impress potential employers. Highlight any relevant projects that demonstrate your expertise in data pipelines and AI technologies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our growing team!
We think you need these skills to ace Senior Data Engineer - Oxfordshire - £75,000 in Banbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL Server, Azure, and Databricks, as well as any leadership roles you've had. We want to see how you can lead and mentor others!
Showcase Your Projects: Include specific projects where you've successfully implemented data engineering solutions. If you've worked on migrating platforms or integrating AI technologies, let us know! This will show us your hands-on experience.
Keep It Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate a straightforward approach that gets to the heart of your skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We’re excited to see what you bring to the table!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you brush up on your SQL Server and Azure data platform knowledge. Be ready to discuss your hands-on experience and any projects you've worked on, especially those involving Databricks. This will show that you're not just familiar with the tools but can also lead the migration project effectively.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, be prepared to share examples of how you've led teams in the past. Talk about how you foster collaboration and set best practices. This will demonstrate that you’re not only a technical expert but also a great team player.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges, like optimising ETL processes or integrating AI technologies. Think through some scenarios beforehand and have clear, structured answers ready. This will help you stand out as someone who can think critically and strategically.
✨Understand the Business Needs
Research the company and its data strategy. Be ready to discuss how your skills can meet their business needs and contribute to exciting projects. Showing that you understand their goals will make you a more attractive candidate.
