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- Tasks: Lead the development of data pipelines and ensure high technical standards.
- Company: A top data and tech company in the UK with an agile team.
- Benefits: Competitive salary, discretionary bonus, and hybrid working options.
- Why this job: Join a dynamic team and make a real impact in data engineering.
- Qualifications: Experience in lead engineering, DevOps, and programming in Scala or Python.
- Other info: Exciting opportunities for career growth in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading data and technology company in the UK seeks a Lead Engineer to join its agile team. The role requires overseeing high technical standards, building data pipelines, and ensuring regulatory compliance in collaboration with various departments.
Applicants should have significant experience in lead engineering at large organizations, DevOps tooling, and programming in Scala or Python.
This position offers a hybrid working environment along with an attractive benefits package, including a competitive salary and discretionary bonus plan.
Lead Data Engineer - Data Lake, Spark & Cloud (Hybrid) in Nottingham employer: Experian Group
Contact Detail:
Experian Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Data Lake, Spark & Cloud (Hybrid) in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Lead Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving data pipelines, Spark, and cloud technologies. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with DevOps tooling and programming languages like Scala or Python. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for the Lead Data Engineer position. Plus, it shows you're genuinely interested in joining our agile team and contributing to our high technical standards.
We think you need these skills to ace Lead Data Engineer - Data Lake, Spark & Cloud (Hybrid) in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in lead engineering, especially in large organisations. We want to see how your skills in Scala or Python and DevOps tooling can shine through!
Showcase Your Projects: Include specific examples of data pipelines you've built or projects where you ensured regulatory compliance. This helps us understand your hands-on experience and technical standards.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data engineering and how you can contribute to our agile team at StudySmarter.
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 Experian Group
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data pipelines, Spark, and cloud technologies. Be ready to discuss your experience with Scala or Python in detail, as well as any DevOps tooling you've used. This will show that you're not just familiar with the tech but can also lead projects effectively.
✨Showcase Your Leadership Skills
Prepare examples of how you've led engineering teams in the past. Think about specific challenges you faced and how you overcame them. Highlight your ability to maintain high technical standards and ensure compliance, as this is crucial for the role.
✨Understand the Company Culture
Research the company’s values and work culture. Since they emphasise an agile team environment, be ready to discuss how you thrive in such settings. Share experiences where collaboration and adaptability were key to your success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the company's vision for its data strategy. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
