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 cutting-edge data solutions while working with top-tier technologies 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 employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
As a leading employer in the heart of London, we offer Data Engineers the chance to be at the forefront of a transformative data journey, with competitive salaries and a robust benefits package. Our collaborative work culture fosters innovation and professional growth, providing opportunities to mentor others while shaping best practices in data engineering. With a focus on modern technologies and a commitment to employee development, we ensure that our team members thrive in a dynamic environment that values their contributions.
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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 best data projects. Whether it's a cool data pipeline you built or a unique solution to a problem, having tangible examples can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice common data engineering problems and be ready to discuss your thought process. We want to see how you tackle challenges!
✨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
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 where you've troubleshot critical data issues or optimised pipelines. We love seeing how you’ve delivered long-term fixes rather than quick patches!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 data engineering work has delivered real value to previous employers. Think about how you partnered with business analysts and other teams to ensure that data solutions met their needs and drove results.
✨Demonstrate a DevOps Mindset
Since they’re looking for someone with a DevOps approach, be prepared to discuss how you automate processes and write clean, testable code. Share any experiences where you’ve implemented best practices in coding and performance optimisation.
