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- Tasks: Transform legacy systems into scalable data pipelines and build high-quality data products.
- Company: Leading recruitment agency in the UK with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Great opportunity for career growth and professional development.
- Why this job: Influence standards and strategy while working on a modern cloud-first platform.
- Qualifications: Over 5 years of experience in Python, SQL, and cloud technologies.
The predicted salary is between 70000 - 98000 £ per year.
A leading recruitment agency in the UK seeks a Principal Data Engineer to own and rebuild a modern data platform. The role involves transforming legacy systems into scalable data pipelines, building high-quality data products, and mentoring engineers.
We're looking for candidates with over 5 years of experience and strong skills in Python, SQL, and cloud technologies such as Databricks and Azure. This role offers a unique opportunity to influence standards and strategy in a collaborative environment.
Lead Data Engineer: Modernize a Cloud-First Platform in England employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Contact Detail:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer: Modernize a Cloud-First Platform in England
✨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 lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud technologies. 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 questions and scenarios. Practice explaining how you've transformed legacy systems into scalable data pipelines, as this is key for the role we're looking at.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Lead Data Engineer: Modernize a Cloud-First Platform in England
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in data engineering. We want to see how you've transformed legacy systems and built scalable data pipelines, so don’t hold back on the details!
Get Technical: Since we're all about Python, SQL, and cloud tech like Databricks and Azure, make sure you showcase your skills in these areas. We love seeing specific examples of how you've used these technologies in your past projects.
Be Collaborative: This role is all about teamwork, so let us know how you've mentored others or worked in a collaborative environment. Share stories that demonstrate your ability to influence standards and strategy within a team.
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’re considered for this exciting opportunity to modernise our cloud-first platform!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and cloud technologies like Databricks and Azure. Be ready to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Mentoring Skills
Since the role involves mentoring engineers, think of examples where you've successfully guided others. Prepare to share how you approach mentoring and what strategies you use to help your team grow.
✨Understand the Company’s Vision
Research the company’s current data platform and their goals for modernisation. This will help you align your answers with their vision and demonstrate that you're genuinely interested in contributing to their success.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to transforming legacy systems or building scalable data pipelines. Practice articulating your thought process clearly, as this will showcase your problem-solving skills and technical expertise.