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- Tasks: Lead data engineering projects and develop resilient platforms for a key client.
- Company: Top tech consulting firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in a fast-paced environment.
- Qualifications: Extensive experience with Hadoop, Spark, Splunk, and proficiency in Python.
- Other info: Work onsite 3 days a week in Sheffield, collaborating with BI and Analytics teams.
The predicted salary is between 42000 - 84000 £ per year.
A leading tech consulting firm is seeking an experienced Lead Data Engineer to work with a key client in Sheffield. The role involves leading data engineering initiatives, developing platforms, and ensuring service resilience.
Candidates should possess extensive experience with tools such as Hadoop, Spark, and Splunk, and be proficient in Python. This position requires 3 days a week onsite in Sheffield, emphasizing collaboration with BI and Analytics teams in a fast-paced environment.
Strong analytical skills and an understanding of agile methodologies are essential.
Lead Data Engineer: ETL, Spark & Python, Onsite 3 days in Sheffield employer: Whitehall Resources
Contact Detail:
Whitehall Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer: ETL, Spark & Python, Onsite 3 days in Sheffield
✨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 referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with ETL, 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 agile methodologies and analytical problem-solving. Practice common interview questions related to data engineering to boost your confidence and impress the hiring team.
✨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 team.
We think you need these skills to ace Lead Data Engineer: ETL, Spark & Python, Onsite 3 days in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL, Spark, and Python. 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 the perfect fit for the Lead Data Engineer position. Share your passion for data engineering and how you can contribute to our team in Sheffield.
Showcase Your Analytical Skills: Since strong analytical skills are key for this role, include examples of how you've used these skills in past projects. We love seeing how you approach problem-solving and decision-making!
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 Whitehall Resources
✨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 tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to solve a coding problem or explain how you've implemented Python in your data engineering tasks. Practice common algorithms and data structures to feel confident.
✨Emphasise Collaboration
Since this role involves working closely with BI and Analytics teams, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to achieve project goals.
✨Understand Agile Methodologies
Familiarise yourself with agile principles and practices. Be ready to discuss how you've applied agile methodologies in your previous roles, and how they can enhance the efficiency of data engineering initiatives.