Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data engineering platforms and create technical test plans while collaborating with diverse teams.
- Company: Dynamic technology consulting firm in the UK with a focus on innovation.
- Benefits: Competitive daily rate, hybrid working model, and opportunity to work on exciting projects.
- Why this job: Join a forward-thinking team and make a significant impact in data engineering.
- Qualifications: Expertise in Hadoop, Spark, Splunk, and proficiency in Python required.
- Other info: 9-month contract with excellent career development opportunities.
The predicted salary is between 60000 - 72000 £ per year.
A technology consulting firm in the UK is seeking a Lead Data Engineer for a 9-month contract. The role involves leading data engineering platforms, driving the creation of technical test plans, and collaborating with cross-functional teams.
Candidates should have deep expertise with Hadoop, Spark, and Splunk and be proficient in Python.
A hybrid working model is available, with three days on-site in Sheffield. This position is inside IR35 at £430 per day.
Lead Data Engineer — Platform & CI/CD Resilience employer: CBSbutler Holdings Limited trading as CBSbutler
Contact Detail:
CBSbutler Holdings Limited trading as CBSbutler Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer — Platform & CI/CD Resilience
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. 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 projects with Hadoop, Spark, and Python. 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 technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your experience with CI/CD processes.
✨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 Lead Data Engineer — Platform & CI/CD Resilience
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Hadoop, Spark, and Splunk. We want to see how your skills align with the role, so don’t be shy about showcasing your technical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Lead Data Engineer role. Share specific examples of your past work that demonstrate your leadership and collaboration skills.
Showcase Your Technical Skills: Since this role requires proficiency in Python, make sure to mention any relevant projects or experiences where you've used it. We love seeing real-world applications of your skills, so don’t hold back!
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 during the process!
How to prepare for a job interview at CBSbutler Holdings Limited trading as CBSbutler
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Hadoop, Spark, and Splunk. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead teams and projects. Prepare examples of how you've successfully led cross-functional teams or driven technical initiatives in the past.
✨Prepare for Technical Test Plans
Since the role involves creating technical test plans, think about how you would approach this task. Be ready to discuss your methodology and any tools you would use to ensure thorough testing and resilience in data engineering platforms.
✨Embrace the Hybrid Model
With a hybrid working model, it's important to express your flexibility and adaptability. Share your thoughts on how you can effectively collaborate with teams both on-site and remotely, ensuring seamless communication and productivity.