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For Companies At a Glance
- Tasks: Design and deliver scalable data solutions while mentoring a team of Data Engineers.
- Company: Join a forward-thinking company in Oxfordshire with a hybrid work model.
- Benefits: Competitive salary, great benefits, and opportunities for professional growth.
- Why this job: Make a real impact in data engineering and lead innovative projects.
- Qualifications: Strong experience with Databricks, Python, Spark, SQL, and cloud platforms.
- Other info: Dynamic role with leadership responsibilities and a focus on best practices.
The predicted salary is between 43200 - 72000 £ per year.
Location: Oxfordshire (Hybrid)
Salary: £Competitive + Benefits
Are you an experienced Databricks Engineer looking for your next challenge?
The Role
This is a hands-on technical role with leadership responsibilities. You'll design and deliver scalable data solutions, work closely with data leaders on architecture and strategy, and mentor a small team of Data Engineers to ensure best practices.
Key Responsibilities
- Build and maintain scalable data pipelines and ETL processes using Databricks
- Collaborate on data architecture and translate designs into build plans
- Deliver large-scale data workflows and optimise for performance
- Implement data quality and validation processes
What We're Looking For
- Strong experience with Databricks
- Proficiency in Python, Spark, and SQL
- Experience with cloud platforms
- Knowledge of pipeline tools
- Excellent problem-solving and leadership skills
If you're passionate about data engineering and want to make an impact, apply today!
Senior Databricks Engineer - Oxfordshire Hybrid -£Competitive in Banbury employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Engineer - Oxfordshire Hybrid -£Competitive in Banbury
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. 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 best projects using Databricks, Python, and Spark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and ETL processes. We recommend practising coding challenges to keep your skills sharp and ready for any scenario.
✨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 Databricks Engineer - Oxfordshire Hybrid -£Competitive in Banbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Python, Spark, and SQL. We want to see how your skills match 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! Tell us why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Leadership Skills: Since this role involves mentoring, make sure to highlight any leadership experiences you’ve had. Whether it’s leading a project or guiding a team, we want to know how you can inspire others in our data journey.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you’re keen on joining us!
How to prepare for a job interview at Jefferson Frank
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with building and maintaining scalable data pipelines, as well as any specific projects you've worked on that showcase your skills in this area.
✨Show Off Your Leadership Skills
Since this role involves mentoring a small team, be prepared to share examples of how you've led teams in the past. Think about situations where you've implemented best practices or guided others through complex problems, and be ready to discuss these experiences.
✨Get Comfortable with Technical Questions
Expect some technical questions around Python, Spark, and SQL. 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 during the interview.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data architecture and strategy. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
