At a Glance
- Tasks: Design and optimise data pipelines using Databricks for big data projects.
- Company: Korn Ferry, a leading consultancy with a focus on innovation.
- Benefits: Competitive daily rate, remote work, and opportunities for professional growth.
- Other info: UK remote position requiring active Security Check clearance.
- Why this job: Join a dynamic team and lead impactful data engineering projects.
- 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 in London 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 compliance and scalability in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Data Engineer — Big Data Pipelines in London
✨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 data pipelines and projects using Databricks, Python, and SQL. 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 data engineering scenarios. Be ready to discuss how you've tackled challenges in pipeline design and optimisation. We want to hear your thought process and problem-solving skills!
✨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 engaged with our platform.
We think you need these skills to ace Senior Databricks Data Engineer — Big Data Pipelines in London
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 expertise can help us design and optimise those big data pipelines.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love seeing how you approach problems, especially when it comes to scalability and compliance in data pipelines.
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. Have specific examples ready that showcase your expertise in Databricks, Python, and advanced SQL.
✨Showcase Your Problem-Solving Skills
During the interview, expect questions that test your ability to solve complex data challenges. Think of scenarios where you had to troubleshoot or optimise a pipeline. Highlight your thought process and the steps you took to achieve scalability and compliance.
✨Collaboration is Key
Since this role involves working with various teams, be ready to discuss your experience in collaborative projects. Share examples of how you’ve effectively communicated with different stakeholders and how you’ve led teams through the pipeline lifecycle.
✨Understand Security Clearance Requirements
As this position requires active Security Check (SC) clearance, be prepared to discuss your understanding of security protocols and compliance measures. Familiarise yourself with the implications of SC clearance and be ready to explain how you ensure data security in your projects.
