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) 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 (f/m)
✨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.
✨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! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Ingegnere dei dati (f/m)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. 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:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention your experience in transforming legacy systems!
Showcase Your Technical Skills:In your application, be sure to highlight your technical authority in data engineering. Mention any mentoring experience and your contributions to engineering communities, as we value collaboration and knowledge sharing.
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 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 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 they’ll 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 to previous employers. Partnering with Business Analysts is key, so think of ways you’ve collaborated to ensure data solutions meet business needs.
✨Demonstrate a DevOps Mindset
Talk about your experience with automation and writing clean, testable code. Companies are looking for engineers who can streamline processes, so share any relevant projects where you’ve implemented best practices in coding and deployment.
