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 to mentor and drive innovation in data engineering.
- 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 degree in a related field.
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
Bi Data Engineer in London employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
As a leading employer in the data engineering space, we offer an exciting opportunity to be at the forefront of a transformative journey, rebuilding a modern data platform in our London HQ. Our collaborative work culture fosters innovation and growth, providing employees with the chance to mentor others while shaping best practices in data engineering. With competitive salaries, comprehensive benefits, and a commitment to professional development, we ensure that our team members thrive both personally and professionally in a dynamic environment.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Bi Data Engineer in London
✨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 data engineering projects, especially those involving Python and SQL. We love seeing real examples of what you can do, so don’t hold back!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common data engineering scenarios and being ready to discuss how you’d tackle challenges in a cloud-first architecture.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented Data Engineers to join us in shaping the future of data platforms.
We think you need these skills to ace Bi Data 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 pipelines, cloud technologies like Azure and GCP, and any relevant projects that showcase your skills in Python and SQL.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the opportunity to shape and modernise a data platform. Mention how your background aligns with our goals at StudySmarter.
Showcase Your Technical Skills:Don’t just list your skills—demonstrate them! Include specific examples of how you've transformed legacy processes or optimised data pipelines. This will show us you’re not just a talker but a doer.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications 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 Python and SQL skills, as you’ll likely be asked to demonstrate your proficiency during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've transformed legacy systems into modern data pipelines. Be ready to discuss specific challenges you faced and how you resolved them, focusing on long-term solutions rather than quick fixes.
✨Understand the Business Impact
Be prepared to talk about how your work as a Data Engineer can drive real value for the business. Think about past projects where your data solutions made a significant impact and be ready to share those stories.
✨Demonstrate Your Leadership Qualities
Since this role involves mentoring and setting standards, think of instances where you’ve taken the lead on projects or helped others improve their skills. Highlight your ability to influence and collaborate with both internal teams and external partners.
