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For Companies At a Glance
- Tasks: Lead and innovate by designing scalable data pipelines and mentoring a team.
- Company: Join a forward-thinking company empowering SMEs with cutting-edge data solutions.
- Benefits: Competitive salary up to £80K, flexible work, and inclusive culture.
- Why this job: Make a real impact on data strategy and drive innovation in a dynamic environment.
- Qualifications: Experience with Databricks, Python, Spark, SQL, and leadership skills.
- Other info: Opportunity for career growth in a supportive and collaborative team.
The predicted salary is between 48000 - 64000 £ per year.
Ready to lead, innovate, and make an impact? We are looking for a Senior Databricks Engineer to join a forward-thinking team and take ownership of cutting-edge data solutions. This is your chance to shape the future of data strategy in a business that has been empowering companies for decades, supporting thousands of SMEs worldwide. We value relationships, trust, and innovation, and offer a flexible, inclusive environment where you can grow, make an impact, and be part of something special.
About the Role
You’ll play a key role in designing and delivering scalable data pipelines, collaborating on architecture, and mentoring a small team of Data Engineers. This is a hands-on technical leadership position where your expertise will drive innovation and performance across our data ecosystem.
What You’ll Do
- Build and optimise data pipelines using Databricks
- Collaborate on data architecture and strategy
- Deliver large-scale workflows for ingestion, transformation, and validation
- Implement best practices for data quality and governance
- Lead and coach a team of Data Engineers
What We’re Looking For
- Significant experience with Databricks (including Unity Catalog)
- Strong skills in Python, Spark, SQL
- Cloud expertise
- Knowledge of pipeline tools (Airflow, ADF)
- Leadership and problem-solving ability
Ready to take the next step? Apply now and join us as our Senior Databricks Engineer!
Senior Databricks Engineer - Northampton (Hybrid) - Up to £80K employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Engineer - Northampton (Hybrid) - Up to £80K
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. 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 projects, especially those involving Databricks and data pipelines. 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 technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your past experiences in detail.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Senior Databricks Engineer - Northampton (Hybrid) - Up to £80K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Databricks Engineer role. Highlight your expertise in Databricks, Python, and any leadership experience you've had. We want to see how you can make an impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can contribute to our innovative team. Be sure to mention specific projects or achievements that showcase your skills.
Showcase Your Problem-Solving Skills: In your application, don’t just list your technical skills; give us examples of how you've tackled challenges in previous roles. We love seeing how you approach problem-solving, especially in a hands-on leadership context.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Jefferson Frank
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge, especially Unity Catalog. Be prepared to discuss how you've used it in past projects and be ready to share specific examples of data pipelines you've built or optimised.
✨Show Off Your Leadership Skills
Since this role involves mentoring a team, think about your leadership experiences. Prepare to talk about how you've guided others in the past, tackled challenges, and fostered collaboration within a team.
✨Be Ready for Technical Questions
Expect some technical questions around Python, Spark, and SQL. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common coding challenges can really help you feel more confident.
✨Demonstrate Your Problem-Solving Ability
Think of specific instances where you've faced challenges in data engineering. Be ready to explain your thought process and the steps you took to resolve issues, showcasing your analytical skills and innovative thinking.
