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.
- Benefits: Competitive salary, bonuses, and flexible work options in London.
- Other info: Opportunity for career growth and to make a real impact on data strategy.
- 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 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
Senior Engineer, Data Engineering employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
As a Senior Engineer in Data Engineering, you will join a forward-thinking company that prioritises innovation and employee development. With a collaborative work culture based in London, you will have the chance to lead transformative projects while enjoying competitive benefits and opportunities for professional growth. The company fosters an environment where your expertise is valued, allowing you to shape the future of data engineering and make a significant impact on the organisation's success.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨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. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data products and projects. This is your chance to demonstrate your expertise in Python, SQL, and cloud technologies like Azure and GCP. Make it easy for potential employers to see 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 scalable solutions and how you approach troubleshooting critical data issues. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’re always looking for talented individuals to join our team. By applying directly, you’ll have a better chance of getting noticed and landing that dream job in data engineering.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Engineer, Data Engineering role. Highlight your experience with data platforms, cloud technologies, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our data transformation journey. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills:Don’t forget to mention your advanced skills in Python and SQL! We want to see examples of how you've used these tools to build scalable data pipelines or optimise performance in previous roles.
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 us you’re keen to join our team!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Data Tools
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 these will 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.
✨Demonstrate Leadership and Mentorship
Since this role involves acting as a technical authority, be ready to talk about your experience mentoring other engineers. Share how you've contributed to engineering communities and defined best practices in your previous roles.
✨Understand the Business Impact
Be prepared to discuss how your data solutions have delivered real value to businesses. Partnering with Business Analysts is key, so think of examples where your work has directly influenced business outcomes.
