At a Glance
- Tasks: Lead the rebuild of a modern data platform and shape innovative data solutions.
- Company: Dynamic company undergoing a high-impact data transformation.
- Benefits: Competitive salary, bonuses, and flexible working arrangements.
- Other info: Opportunity to mentor others and grow within a collaborative environment.
- Why this job: Make a real impact by modernising data systems and influencing best practices.
- Qualifications: Experience in data engineering and proficiency with tools like Databricks and Azure.
The predicted salary is between 90000 - 90000 £ per year.
Salary: £90,000 + Benefits/Bonus
London – 1 or 2 days a week in London HQ
Own the rebuild of a modern data platform from the ground up. We’re working with a business in the middle of a high-impact data transformation—moving away from legacy constraints towards a scalable, cloud-first architecture. They’re looking for a Data Engineer to take a leading role in that journey. This isn’t a role where you inherit a polished environment. It’s an opportunity to shape, modernise, and influence —from refactoring legacy pipelines to building best-in-class data products using tools like Databricks, Azure, and GCP.
You’ll operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams and external delivery partners.
Data Engineer employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the evolution of our data platform. With competitive salaries, comprehensive benefits, and opportunities for professional growth, you will thrive in an environment that encourages creativity and technical excellence, all while enjoying the vibrant atmosphere of London just 1 or 2 days a week at our HQ.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, Azure, and GCP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common data engineering scenarios and being ready to discuss how you’d tackle challenges in a modern data platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects you've worked on that demonstrate your skills and passion for building modern data platforms.
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with tools like Databricks, Azure, and GCP, and don’t forget to mention any legacy systems you’ve transformed. We want to see how you can contribute to our data transformation journey!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be sure to explain how your background aligns with our mission to modernise data platforms and how you can influence our data function.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Databricks, Azure, and GCP. Brush up on your knowledge of cloud-first architectures and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering. Think of examples where you had to refactor legacy pipelines or build new data products. Highlight your thought process and the impact of your solutions.
✨Demonstrate Leadership Potential
Since this role involves mentoring and setting standards, be ready to share experiences where you’ve led a team or influenced others. Discuss how you approach collaboration with internal teams and external partners to drive successful outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s data transformation journey. Inquire about their current challenges, future goals, and how they envision the role of a Data Engineer contributing to their success.
