At a Glance
- Tasks: Lead the development of a cutting-edge AWS-based data platform and design scalable data pipelines.
- Company: Fast-growing healthtech scale-up transforming real-world feedback data into insights.
- Benefits: Fully remote role with flexibility, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity to work on complex data challenges and contribute to innovative solutions.
- Why this job: Join a high-impact team and shape the future of data in a dynamic environment.
- Qualifications: Strong AWS, Python, and SQL skills; experience with data pipelines and cloud technologies.
The predicted salary is between 60000 - 80000 € per year.
This fast-growing healthtech scale-up is transforming how organisations understand and act on real-world feedback data. Their platform aggregates and processes millions of unstructured data points from external sources, turning them into meaningful insights that drive decision-making across large enterprise clients.
Following recent investment and a strategic shift towards international growth, the business is entering an exciting new phase of development. As part of this journey, they are looking to appoint a Senior Data Engineer to play a key role in evolving their core data platform. This is a rare opportunity to join a small, high-impact team, taking ownership of critical systems and helping shape how data is collected, structured and used across the organisation.
As Senior Data Engineer, you will take a hands-on leadership role in the development and optimisation of a modern, cloud-native data platform. Working closely with engineering, product and data science teams, you will be responsible for designing scalable data pipelines, improving platform performance and shaping best practice across the data function. This is a role with genuine ownership — not just maintaining existing systems, but actively building and improving them. This is a fully remote role (UK-based), offering flexibility alongside the opportunity to work on complex, high-volume data challenges.
Key Responsibilities- Own and evolve the organisation’s AWS-based data platform, including data lake, warehouse and modelling layers
- Design and build scalable data pipelines ingesting large volumes of structured and unstructured external data
- Develop infrastructure using Infrastructure as Code (CDK / Terraform)
- Improve platform performance, scalability and reliability, ensuring production-grade data systems
- Establish and promote engineering best practices including CI/CD, testing, documentation and monitoring
- Collaborate with product and data stakeholders to translate requirements into robust technical solutions
- Support the ongoing development of data architecture to enable advanced analytics and future machine learning use cases
- Act as a senior technical voice within the team, contributing to design decisions and platform direction
We are looking for a hands-on, technically strong engineer who enjoys solving complex data problems and takes pride in building scalable, reliable systems. You are likely to bring:
- Strong experience working with AWS-based data platforms
- Excellent Python and SQL skills, with a focus on clean, production-quality code
- Experience designing and maintaining data pipelines at scale
- Solid understanding of data modelling, data lakes and warehouse architectures
- Exposure to Infrastructure as Code and CI/CD workflows
- A proactive, ownership mindset and the ability to work independently in a fast-paced environment
- Experience building or maintaining web scraping / external data ingestion pipelines
- Exposure to machine learning workflows or data science environments
- Previous experience working in a startup or scale-up setting
Senior Data Engineer in Manchester employer: Nigel Wright Group
Join a dynamic healthtech scale-up that is at the forefront of transforming data into actionable insights. With a fully remote work model, you will enjoy the flexibility to tackle complex data challenges while being part of a small, high-impact team that values ownership and innovation. The company fosters a collaborative culture with ample opportunities for professional growth, making it an ideal environment for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthtech space or related fields. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you’ve tackled similar problems in the past, especially with AWS and data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your AWS experience, Python and SQL skills, and any relevant projects you've worked on. We want to see how you can contribute to our exciting journey!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for data engineering. Share why you're excited about this opportunity and how your background aligns with our mission at StudySmarter. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any relevant projects, especially those involving data pipelines or AWS, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on the details!
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 this fantastic opportunity. Plus, it’s super easy!
How to prepare for a job interview at Nigel Wright Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Python, and SQL. Brush up on your knowledge of data pipelines and cloud-native platforms, as you’ll likely be asked to discuss your experience with these tools.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex data problems you've solved in the past. Think about challenges related to data ingestion or performance optimisation, and be ready to explain your thought process and the impact of your solutions.
✨Demonstrate Ownership Mindset
This role requires a proactive approach, so be prepared to discuss times when you took ownership of a project or system. Highlight how you’ve contributed to improving processes or systems in previous roles, showcasing your ability to work independently.
✨Engage with the Team's Vision
Research the company’s mission and recent developments in the healthtech space. Be ready to discuss how your skills align with their goals and how you can contribute to their exciting phase of growth, particularly in shaping their data platform.
