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- Tasks: Design and deliver scalable data solutions while mentoring a team of Data Engineers.
- Company: Leading data engineering consultancy with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the data engineering field with cutting-edge technologies.
- Qualifications: Strong experience with Databricks, Python, Spark, and SQL required.
- Other info: Join a dynamic team and enhance your skills in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading data engineering consultancy is seeking an experienced Databricks Engineer for a hybrid role based in Oxfordshire. In this hands-on position, you will design and deliver scalable data solutions while mentoring a team of Data Engineers.
Key responsibilities include:
- Building and maintaining data pipelines
- Optimizing workflows
- Implementing data quality processes
Ideal candidates should have strong experience with Databricks and proficiency in Python, Spark, and SQL. Apply today to make an impact in the data engineering field.
Databricks Lead Engineer - Build Scalable Data Solutions in Banbury employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Lead Engineer - Build Scalable Data Solutions 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 and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data solutions and projects. This is your chance to demonstrate your expertise in Python, Spark, and SQL, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would tackle building and maintaining data pipelines or optimising workflows. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Databricks Lead Engineer - Build Scalable Data Solutions 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 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. We love seeing enthusiasm and a bit of personality!
Showcase Your Mentoring Skills: Since mentoring is a key part of this role, share any experiences you have in guiding others. We’re looking for someone who can inspire and lead a team, so let us know how you’ve done that 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 don’t miss out on any important updates from 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 past projects, how you've used Databricks to build scalable data solutions, and any challenges you've faced. This will show your expertise and passion for the role.
✨Show Off Your Python, Spark, and SQL Skills
Prepare to demonstrate your proficiency in Python, Spark, and SQL during the interview. You might be asked to solve a problem or explain how you've optimised workflows in previous roles. Practising coding challenges or discussing specific examples can really help you shine.
✨Mentorship Matters
Since this role involves mentoring a team of Data Engineers, think about your leadership style and experiences. Be ready to share examples of how you've guided others, resolved conflicts, or fostered collaboration within a team. This will highlight your ability to lead effectively.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data quality processes and their approach to building data pipelines. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your values and career goals.
