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.
- Benefits: Competitive salary, bonuses, and flexible work options in London.
- Other info: Opportunity for career growth and to make a real impact on data strategy.
- 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 required.
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
IT Data Architect in London employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
As an employer, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects and drive meaningful change. With a focus on professional growth, we offer extensive training opportunities and the chance to work with cutting-edge technologies in a collaborative environment. Located in London, our headquarters provides a vibrant setting for creativity and teamwork, making it an ideal place for IT Data Architects looking to make a significant impact in a transformative data landscape.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect 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 projects, especially those involving tools like Databricks and Azure. We want to see what you can do, so make it easy for potential employers to see your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. We recommend practising problem-solving questions and being ready to discuss how you’d tackle real-world scenarios. Confidence is key!
✨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 IT Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the IT Data Architect role. Highlight your experience with data engineering, cloud technologies, 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 architecture and how your background aligns with our goals at StudySmarter. Don’t forget to mention your experience with modernising data platforms and working with tools like Databricks and Azure.
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 demonstrate their ability to deliver long-term fixes and optimise performance. 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’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
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 data engineering work has delivered real value in previous roles. Partnering with Business Analysts is key, so think of examples where your data solutions have directly influenced business outcomes.
✨Demonstrate a DevOps Mindset
Since they’re looking for someone with a DevOps approach, be prepared to discuss how you automate processes and ensure code quality. Share your experiences with writing clean, testable code and how it contributes to overall project success.
