At a Glance
- Tasks: Lead the rebuild of a modern data platform and transform legacy systems into scalable solutions.
- Company: Dynamic company undergoing a high-impact data transformation in London.
- Benefits: Competitive salary, bonuses, and flexible working arrangements.
- Other info: Collaborative environment with opportunities for mentorship and professional growth.
- Why this job: Make a real impact by shaping a large-scale data estate with cutting-edge tools.
- Qualifications: Degree in Computer Science or related field, plus 5+ years in data engineering.
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.
The Role
- 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
- Work across modern cloud platforms including Databricks, Azure, and GCP
- Engineering Leadership & Collaboration
- 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
- Stakeholder Engagement & Mentorship
- Partner with Business Analysts to ensure data solutions deliver real value
- Mentor and support engineers through pairing and knowledge sharing
- Champion engineering excellence across the team
About You
- 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
- Hands-on experience with Databricks, Azure, and GCP/BigQuery
- Proven ability to work across both legacy systems and modern cloud environments
Key Skills
- DevOps mindset – you automate wherever possible and write clean, testable code
- Pragmatic approach – focused on delivering value without overengineering
- Strong communicator – confident engaging with stakeholders across the business
Why Apply?
- High-impact role with real ownership of platform direction
- Opportunity to modernise and shape a large-scale data estate
- Work in a collaborative, engineering-led environment
- Influence tooling, standards, and long-term strategy
Data Engineer employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Join a forward-thinking company in London that is at the forefront of a transformative data journey. As a Data Engineer, you will not only have the chance to lead the rebuild of a modern data platform but also enjoy a collaborative work culture that prioritises engineering excellence and mentorship. With competitive salary packages and the flexibility of working from the London HQ just 1 or 2 days a week, this role offers a unique opportunity for professional growth and meaningful impact.
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 people in the industry, attend meetups, and connect with fellow data enthusiasts 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 projects, especially those involving Databricks, Azure, and GCP. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance of being noticed by our hiring managers.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with Python, SQL, and cloud platforms like Databricks and Azure. 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! Share your passion for data engineering and how your background aligns with our mission at StudySmarter. Let us know why you're excited about the opportunity to shape and modernise our data platform.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines or cloud solutions. We love seeing practical examples of your skills in action, especially if they demonstrate your ability to tackle legacy systems.
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 shows us you’re keen to be part of the StudySmarter team!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Tech Inside Out
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, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Highlight your ability to troubleshoot and deliver long-term solutions rather than quick fixes. This will demonstrate your operational performance mindset.
✨Emphasise Collaboration and Mentorship
Since this role involves working closely with teams and mentoring others, be ready to share experiences where you’ve successfully collaborated or guided fellow engineers. This shows you can contribute to a positive team culture.
✨Understand the Business Impact
Be prepared to discuss how your work as a Data Engineer can drive real value for the business. Think about how you can align data solutions with business goals and be ready to engage with stakeholders effectively.
