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- Tasks: Design and implement complex data pipelines and lead junior engineers.
- Company: Fast-growing digital transformation consultancy with a focus on healthcare data.
- Benefits: Competitive salary, flexible leave, tax-free bonuses, and continuous training.
- Why this job: Join a dynamic team shaping the future of data engineering in healthcare.
- Qualifications: Proficiency in Python, SQL, and experience with cloud-based data solutions.
- Other info: Hybrid working model with a vibrant social calendar and community initiatives.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing digital transformation consultancy is seeking a Data Engineer to play a key role in supporting the digital transformation journeys of its clients.
We’re looking for someone experienced in guiding teams and supporting clients in using data to enable better decision-making. With exciting plans for our Data Capability in 2026, we’d love to hear from people passionate about building great teams and supporting our internal Data Engineer Academy. Experience with healthcare data—or an interest in working on healthcare-focused data projects—is a bonus.
- Design and implementation of complex data pipelines using both NoSQL and relational databases
- Development and management of cloud-based data solutions with a focus on scalability and security
- Leadership and mentoring of junior data engineers, fostering knowledge sharing and professional growth
- Implementation and oversight of CI/CD pipelines for efficient deployment of data services
- Strong proficiency in Python, SQL, and other relevant backend languages
- Effective use of backend programming languages for data processing and manipulation
- Participation in the organisation and delivery of our internal Data Engineer Academy
- Advanced scripting skills for automation of data processes and ETL workflows
- Experience with business intelligence (BI) tools to deliver actionable insights
- Knowledge of software design patterns, principles, and architecture best practices
- Awareness of data engineering trends, particularly around healthcare data standards
We offer:
- Competitive salary, benchmarked internally and externally for fairness
- Flexible annual leave options (buy, sell, carry forward)
- Twice-yearly tax-free bonuses
- Continuous training and development—we’ll support your learning ambitions
- Flexible pension contributions, matched up to 5%
- A full social calendar including annual parties, away days, and team socials
- Free parking at head office locations, plus Cycle2Work and green travel schemes
- Opportunities to give back through partnerships focused on improving diversity routes into tech, plus involvement in charity and community initiatives
- Hybrid and flexible working to help you collaborate, concentrate, and manage your time effectively
Diversity and Inclusion: We are a successful digital transformation consultancy on a strong growth trajectory, with a reputation for delivering large-scale and operationally critical solutions.
Senior Engineer, Data Engineering in Leeds employer: Haystack
Contact Detail:
Haystack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in Leeds
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio or GitHub repository showcasing your data pipelines and projects. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for those interviews by practising common questions and scenarios related to data engineering. Be ready to discuss your past projects and how you’ve tackled challenges. Confidence is key!
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us—your next big career move could be just a click away!
We think you need these skills to ace Senior Engineer, Data Engineering in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with data pipelines, cloud solutions, and any leadership roles you've had. We want to see how you can contribute to our Data Engineer Academy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how it aligns with our mission. Mention any relevant projects, especially in healthcare, and how you’ve guided teams in the past. Let us know why you’re excited about this role!
Showcase Your Technical Skills: Be specific about your technical proficiencies. If you’ve worked with Python, SQL, or BI tools, make sure to include examples of how you’ve used them in real-world scenarios. We love seeing practical applications of your skills!
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Haystack
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data engineering concepts, especially around NoSQL and relational databases. Be ready to discuss your experience with designing complex data pipelines and cloud-based solutions, as this will show your technical prowess.
✨Showcase Your Leadership Skills
Since the role involves mentoring junior engineers, think of examples where you've led a team or supported others in their growth. Highlight your ability to foster knowledge sharing and how you've contributed to team success in previous roles.
✨Be Ready for Technical Questions
Prepare for questions that test your proficiency in Python, SQL, and other backend languages. You might be asked to solve problems on the spot, so practice coding challenges and be ready to explain your thought process clearly.
✨Demonstrate Your Passion for Healthcare Data
If you have experience or interest in healthcare-focused data projects, make sure to bring it up! Discuss any relevant projects you've worked on and how they align with the company's goals in digital transformation within the healthcare sector.