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: Be part of a dynamic team with opportunities for mentorship and career growth.
- Why this job: Shape and influence a large-scale data estate using cutting-edge tools like Databricks and Azure.
- 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
Ingegnere dei dati (f/m) in London employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Join a forward-thinking company that is at the forefront of a significant data transformation, offering you the chance to lead the rebuild of a modern data platform in a collaborative and innovative environment. With a strong emphasis on employee growth, you will have access to mentorship opportunities and the ability to influence best practices while working with cutting-edge technologies like Databricks and Azure. Located in London, our flexible work culture allows for a balanced approach, with the option to work from home part of the week, making it an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. Attend meetups or webinars related to data engineering to meet potential employers and learn about openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving tools like Databricks, Azure, and GCP. This will give you an edge during interviews and help demonstrate your hands-on experience with modern data platforms.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss how you've transformed legacy systems into scalable solutions. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform. Let’s get you on board!
We think you need these skills to ace Ingegnere dei dati (f/m) in London
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 any cloud platforms like Azure or GCP. 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 you’ve tackled challenges in the past. Let us know why you’re excited about shaping a modern data platform with us at StudySmarter.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any portfolio showcasing your data pipelines or products. We love seeing practical examples of your work and how you’ve driven value through data.
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 you’re keen to join the StudySmarter team!
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 expertise in these areas during the interview.
✨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 drive value for the business. Think about how you can partner with Business Analysts to ensure that data solutions are not just technically sound but also deliver real business outcomes.
✨Demonstrate Leadership and Mentorship
Since the role involves acting as a technical authority, prepare to discuss your experience mentoring other engineers. Share how you’ve contributed to engineering communities and helped define best practices, showcasing your leadership skills.
