At a Glance
- Tasks: Lead the rebuild of a modern data platform and transform legacy processes into scalable solutions.
- 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: Opportunity to mentor engineers and drive global standards in a collaborative team.
- Why this job: Shape the future of data architecture and influence best practices in a dynamic environment.
- 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 Architect in London employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
As a leading employer in the data engineering space, we offer an exciting opportunity for a BI/Data Architect to play a pivotal role in our transformative journey towards a modern, cloud-first data platform. Our London HQ fosters a collaborative and innovative work culture, where you will have the chance to mentor fellow engineers, shape best practices, and contribute to high-impact projects. With competitive salaries, comprehensive benefits, and a commitment to employee growth, 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 Architect 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 engineering 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 systems into modern data pipelines and how you approach troubleshooting critical data issues.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace BI / Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Engineer. 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:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our data transformation journey. Share specific examples of how you've modernised data platforms or optimised processes in the past.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! If you’ve worked on projects involving Databricks or have experience with DevOps practices, make sure to include those details. We want to see how you can bring value to our team.
Apply Through Our Website:We encourage you to apply through our website for a smoother application 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 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, as this is crucial for the role.
✨Understand the Business Impact
Be ready to explain how your data solutions have delivered real value in past roles. This shows that you not only understand the technical side but also how it aligns with business goals.
✨Emphasise Collaboration and Mentorship
Since the role involves working closely with teams and mentoring others, share experiences where you’ve collaborated effectively or helped others grow. This will demonstrate your leadership potential and team spirit.
