At a Glance
- Tasks: Lead the rebuild of a modern data platform and transform legacy processes into scalable pipelines.
- Company: Join a forward-thinking company driving high-impact data transformation in London.
- Benefits: Competitive salary of £90,000 plus benefits and bonuses, with flexible remote work options.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Shape and modernise a large-scale data estate while influencing best practices and standards.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, and a DevOps mindset.
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.
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 Engineering & Pipeline Development
- Transform legacy batch processes into scalable, observable data pipelines
- Build and deliver high-quality data products in line with architectural designs
- Act as the technical authority for third-party and contract engineers
- Contribute to engineering communities and help define best practices
- Drive adoption of global standards across security, performance, and code quality
- Operational Performance
- Troubleshoot and resolve critical data issues with urgency
- Deliver long-term fixes rather than short-term patches wherever possible
- Optimise pipelines and queries to improve performance and control cloud costs
- Partner with Business Analysts to ensure data solutions deliver real value
Degree in Computer Science, Data Science, or a related field (or equivalent experience)
Strong experience (typically 5+ years) in data engineering roles
Advanced skills in Python and SQL
DevOps mindset – you automate wherever possible and write clean, testable code
Opportunity to modernise and shape a large-scale data estate
Influence tooling, standards, and long-term strategy
Data & BI Engineer in London employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
As a Data & BI Engineer at our London HQ, you will be part of a dynamic team driving a significant data transformation, with the chance to shape and modernise our data platform. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional growth, offering competitive salaries and benefits, as well as opportunities for mentorship and skill development. Join us to make a meaningful impact in a forward-thinking environment that values your expertise and contributions.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & BI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 data projects, especially those involving tools like Databricks, Azure, and GCP. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've transformed legacy processes into scalable solutions and how you approach troubleshooting critical data issues.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers who are eager to shape and modernise data platforms. Your next big opportunity could be just a click away!
We think you need these skills to ace Data & BI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data platforms, cloud technologies like Azure and GCP, and any relevant projects that showcase your skills in Python and SQL. 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 shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention your experience in optimising data pipelines and your DevOps mindset.
Showcase Your Problem-Solving Skills:In your application, be sure to include examples of how you've tackled critical data issues in the past. We love candidates who can deliver long-term fixes and optimise performance, so share those success stories with us!
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. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Databricks, Azure, and GCP. Brush up on your Python and SQL skills, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've transformed legacy systems or optimised data pipelines. Highlight your ability to troubleshoot and resolve issues quickly, focusing on long-term solutions rather than quick fixes.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer can deliver real value to the business. Partnering with Business Analysts is key, so think about how you can articulate the importance of data solutions in driving business decisions.
✨Demonstrate Leadership and Mentorship
Since the role involves acting as a technical authority, prepare to discuss your experience mentoring others and setting standards. Share how you’ve contributed to engineering communities and defined best practices in your previous roles.
