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- Tasks: Lead the rebuild of a modern data platform and transform legacy systems into scalable solutions.
- Company: Join a forward-thinking business undergoing a high-impact data transformation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on engineering excellence and mentorship.
- Why this job: Make a real impact by shaping a large-scale data estate with cutting-edge technologies.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, experience with Databricks and Azure.
The predicted salary is between 70000 - 90000 £ per year.
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 Principal Data Engineer to take a leading role in that journey. This isn’t a role where you inherit a polished environment. 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.
The Role:
- 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
- Work across modern cloud platforms including Databricks, Azure, and GCP
- Engineering Leadership & Collaboration
- 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
- Stakeholder Engagement & Mentorship
- Partner with Business Analysts to ensure data solutions deliver real value
- Mentor and support engineers through pairing and knowledge sharing
- Champion engineering excellence across the team
About You:
- 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
- Hands‑on experience with Databricks, Azure, and GCP/BigQuery
- Proven ability to work across both legacy systems and modern cloud environments
Key Skills:
- DevOps mindset – you automate wherever possible and write clean, testable code
- Pragmatic approach – focused on delivering value without overengineering
- Strong communicator – confident engaging with stakeholders across the business
Why Apply?
- High‑impact role with real ownership of platform direction
- Opportunity to modernise and shape a large‑scale data estate
- Work in a collaborative, engineering‑led environment
- Influence tooling, standards, and long‑term strategy
Senior Data Engineer in England employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Contact Detail:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in England
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Databricks, Azure, and GCP. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've transformed legacy systems and built scalable data pipelines. Practice common interview questions and scenarios related to data engineering.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals 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 Senior Data Engineer in England
Some tips for your application 🫡
Show Your Passion for Data Engineering: When writing your application, let your enthusiasm for data engineering shine through! Share specific examples of projects you've worked on, especially those involving modern cloud platforms like Databricks, Azure, and GCP. We want to see how you can bring that passion to our team.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your relevant experience and skills. Focus on your hands-on experience with Python and SQL, and don’t forget to mention any leadership roles or mentoring experiences. This helps us see how you fit into the role and our culture.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. Highlight your achievements and the impact you've made in previous roles, especially in transforming legacy systems into scalable solutions.
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 on joining our team at StudySmarter!
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, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Focus on long-term solutions rather than quick fixes, as this aligns with the role's emphasis on operational performance and optimisation.
✨Demonstrate Leadership and Mentorship
Since the role involves mentoring engineers and acting as a technical authority, think of instances where you've led a team or shared knowledge. Be ready to discuss how you foster collaboration and drive engineering excellence.
✨Engage with Stakeholders
Practice articulating how you’ve partnered with business analysts or other stakeholders to deliver value through data solutions. Highlight your communication skills and ability to translate technical concepts into business benefits.