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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 and make an impact in the healthcare data space.
- Qualifications: Proficiency in Python, SQL, and experience with data engineering.
- Other info: Hybrid working, social events, and opportunities for community involvement.
The predicted salary is between 28800 - 48000 £ 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.
Ingegnere dei dati (f/m) in Leeds employer: Haystack
Contact Detail:
Haystack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m) in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. The more people you know, the better your chances of landing that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, cloud solutions, and any projects you've worked on. 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 soft skills. Practice common interview questions and be ready to discuss your experience with Python, SQL, and data engineering trends.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to join our team and help shape the future of data engineering.
We think you need these skills to ace Ingegnere dei dati (f/m) in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. 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 team!
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 at StudySmarter. Don’t forget to mention any healthcare data experience if you have it – it’s a bonus for us!
Showcase Your Technical Skills: Be sure to list your proficiency in Python, SQL, and any other relevant backend languages. If you’ve worked with CI/CD pipelines or BI tools, let us know! We’re keen to see how your technical expertise can enhance our Data Engineer Academy.
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
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 and implementing complex data pipelines, as well as any cloud-based solutions you've worked on.
✨Showcase Your Leadership Skills
Since the role involves mentoring junior data engineers, think of examples where you've led a team or supported others in their professional growth. Highlight your ability to foster knowledge sharing and how you've contributed to team success in previous roles.
✨Be Prepared for Technical Questions
Expect to dive deep into technical discussions about Python, SQL, and backend programming languages. Brush up on your advanced scripting skills and be ready to explain how you've automated data processes or implemented CI/CD pipelines in past projects.
✨Express Your Passion for Healthcare Data
If you have experience or an interest in healthcare-focused data projects, make sure to mention it! Companies love candidates who are passionate about their specific industry, so share any relevant insights or experiences that demonstrate your enthusiasm for working with healthcare data.