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.
- Benefits: Competitive salary, bonuses, and flexible work options in London.
- Other info: Opportunity for career growth and to make a real impact on data solutions.
- Why this job: Shape the future of data engineering and influence best practices in a dynamic environment.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, and a DevOps mindset.
The predicted salary is between 70000 - 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 Dati in London employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Join a forward-thinking company at the forefront of data transformation, where you will have the opportunity to lead the rebuild of a modern data platform in a collaborative and innovative environment. With a strong focus on employee growth, you will benefit from mentorship opportunities, a culture that encourages knowledge sharing, and the chance to influence best practices while working with cutting-edge technologies. Located in London, this role offers a flexible work arrangement, allowing you to balance your professional and personal life effectively.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati in London
✨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 best data projects, especially those involving tools like Databricks, Azure, and GCP. This will give potential employers a taste of what you can bring to the table.
✨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! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Ingegnere 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, Python, and SQL. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our transformation journey. Let us know why you're excited about this opportunity!
Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines or cloud technologies. We love seeing practical examples of your skills in action.
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’s super easy!
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 questions.
✨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, as this is crucial for the role.
✨Demonstrate Your Leadership Qualities
Since the role involves mentoring and acting as a technical authority, be ready to share experiences where you’ve led projects or guided other engineers. This will show that you can take charge and influence best practices.
✨Understand the Business Impact
Be prepared to discuss how your data solutions have delivered real value in previous roles. Partnering with Business Analysts is key, so showing that you understand the business side of data engineering will set you apart.
