At a Glance
- Tasks: Design and optimise data pipelines using Databricks for scalable solutions.
- Company: Korn Ferry, a leading consultancy with a focus on innovation.
- Benefits: Competitive daily rate, remote work, and opportunities for collaboration.
- Other info: Remote role with potential for career advancement.
- Why this job: Lead impactful projects in big data and enhance your technical skills.
- Qualifications: Expertise in Databricks, Python, and advanced SQL required.
The predicted salary is between 45000 - 55000 £ per year.
Korn Ferry is seeking a Senior Data Engineer specializing in Databricks and Big Data Pipelines. This UK remote position requires active Security Check (SC) clearance.
The role involves designing and optimizing data pipelines on Databricks while ensuring scalability and compliance. Strong expertise in Databricks, Python, and advanced SQL is essential.
You will lead the pipeline lifecycle and collaborate with various teams. The role offers a rate of £450-550 per day inside IR35.
Senior Databricks Data Engineer — Big Data Pipelines employer: Korn Ferry
Korn Ferry is an exceptional employer that values innovation and collaboration, providing a dynamic work culture where your expertise in Databricks and Big Data Pipelines can truly shine. With a focus on employee growth, we offer opportunities for professional development and the chance to work remotely from anywhere in the UK, ensuring a healthy work-life balance while contributing to impactful projects. Join us to be part of a forward-thinking team that prioritises both individual and collective success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Data Engineer — Big Data Pipelines
✨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 involving Databricks and big data pipelines. 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 your Python and SQL skills. Be ready to discuss how you've tackled challenges in previous roles, especially around scalability and compliance in data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Databricks Data Engineer — Big Data Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, Python, 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 your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data pipeline design and optimisation. We love seeing how you think on your feet and come up with innovative solutions!
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 our team!
How to prepare for a job interview at Korn Ferry
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge. Be prepared to discuss how you've designed and optimised data pipelines in the past, and be ready to share specific examples of challenges you've faced and how you overcame them.
✨Show Off Your Python and SQL Skills
Since strong expertise in Python and advanced SQL is essential, practice coding problems related to data manipulation and pipeline creation. You might be asked to solve a problem on the spot, so being comfortable with these languages will give you a huge advantage.
✨Understand the Compliance Landscape
Familiarise yourself with compliance requirements relevant to data engineering. Be ready to discuss how you ensure scalability and compliance in your projects, as this will show that you understand the bigger picture beyond just coding.
✨Collaboration is Key
This role involves working with various teams, so be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully led projects or worked with cross-functional teams to achieve common goals.
