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: Be part of a dynamic team with opportunities for mentorship and career growth.
- Why this job: Shape and influence cutting-edge data products using top tools like Databricks and Azure.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, and a DevOps mindset.
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 in London employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Join a forward-thinking company that prioritises innovation and employee development, offering a competitive salary of £90,000 plus benefits and bonuses. With a collaborative work culture in London, you will have the chance to lead a transformative data project, mentor fellow engineers, and shape the future of data architecture while enjoying flexible working arrangements. This role not only provides an opportunity to work with cutting-edge technologies but also fosters personal growth and professional advancement 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 Ingegnere Dei Dati in London
✨Tip Number 1
Network like a pro! Reach out to people 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. Whether it's a GitHub repo or a personal website, let us see what you've built and how you’ve transformed data pipelines.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. We recommend practising common data engineering problems and being ready to discuss your past experiences. 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 Ingegnere Dei Dati 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 platforms, 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 rebuild a modern data platform and how your background aligns with our mission at StudySmarter.
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples of how you've tackled data issues in the past. We love seeing candidates who can troubleshoot and deliver long-term solutions rather than quick fixes.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly 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 to discuss specific examples where you've transformed legacy systems or optimised data pipelines. Highlight your approach to troubleshooting and how you’ve delivered long-term solutions rather than quick fixes.
✨Understand the Business Impact
Be ready to explain how your data engineering work has added value to previous projects. Discuss how you partnered with business analysts to ensure that data solutions met real business needs and drove results.
✨Emphasise Collaboration and Mentorship
Since this role involves mentoring other engineers, think of examples where you’ve led teams or contributed to engineering communities. Show that you can set standards and influence best practices within a team environment.
