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- Tasks: Design and deliver scalable data solutions while building robust data pipelines.
- Company: A growing data organisation in the UK with a focus on innovation.
- Benefits: Competitive salary, strong benefits package, and hybrid working model.
- Why this job: Join a dynamic team and make an impact in the data engineering field.
- Qualifications: Experience with Databricks, Python, Spark, and SQL is essential.
- Other info: Great opportunities for career progression and mentoring experience.
The predicted salary is between 36000 - 60000 £ per year.
A growing data organization in the UK is seeking a Data Engineer to design and deliver scalable data solutions. This role involves building and maintaining robust data pipelines, working closely with senior leaders on architecture, and mentoring a small team. The ideal candidate will have strong experience with Databricks, Python, Spark, and SQL. Competitive salary, strong benefits package, and a hybrid working model are offered, along with opportunities for career progression.
Hybrid Data Engineer — Databricks, Python & Spark Lead in Banbury employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer — Databricks, Python & Spark Lead in Banbury
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those who work with Databricks, Python, and Spark. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in building scalable solutions and working with SQL, which can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Think about how you’d explain your experience with architecture and mentoring. We want you to feel confident and ready to shine when it’s your turn to talk!
✨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 and eager to join our growing team.
We think you need these skills to ace Hybrid Data Engineer — Databricks, Python & Spark Lead in Banbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Python, and Spark. 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 passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data pipeline design or architecture. We’re looking for candidates who can think critically and innovate, so let us know how you’ve done this in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, Python, Spark, and SQL skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've designed and delivered scalable data solutions in the past. Think of examples that highlight your ability to build robust data pipelines and how you approached architecture discussions with senior leaders.
✨Mentorship Matters
Since this role involves mentoring a small team, be ready to share your experiences in guiding others. Discuss your mentoring style and how you've helped junior team members grow in their roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
