At a Glance
- Tasks: Build scalable data pipelines and robust data models to drive healthcare innovation.
- Company: MissionNeko, a pioneering company in preventative healthcare.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment focused on collaboration and innovation.
- Why this job: Join a mission-driven team making healthcare accessible and impactful for everyone.
- Qualifications: Strong Python and SQL skills, experience with databases and cloud infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
MissionNeko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear. In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.
ROLE PURPOSE
As a Data Engineer within our Data-to-AI platform, you will play a critical role in enabling healthcare innovation through robust, scalable, and secure data systems. You will design and build core data platform components, advanced data models, and ingestion frameworks that power analytics, machine learning, and data-driven decision making across the organization. Working with sensitive healthcare data, you will ensure strong governance, data quality, and regulatory compliance remain foundational to the platform.
WHAT YOU'LL DELIVER IN THE FIRST 6–12 MONTHS
- Build and productionize scalable batch and streaming data pipelines supporting platform and research workloads.
- Design and implement robust data models across databases and lakehouse systems to support analytics and machine learning.
- Establish strong data quality, monitoring, and lineage practices improving reliability, traceability, and trust in platform data.
- Contribute to scalable and well-governed data platform infrastructure supporting performance, compliance, and growth.
- Partner closely with data scientists, analysts, and engineering teams to enable reliable data contracts and high-quality datasets.
RESPONSIBILITIES
- Build and own scalable data pipelines for ingestion, integration, and processing across batch and streaming systems.
- Architect and maintain robust data models across databases and lakehouse platforms supporting analytics and ML workloads.
- Develop and own core data platform components and infrastructure.
- Ensure data integrity and quality through monitoring, alerting, lineage, and traceability.
- Manage and optimize data infrastructure including clusters, storage, and compute resources.
- Implement metrics and observability across services using logging, tracing, and monitoring.
- Troubleshoot production issues, pipeline failures, and performance bottlenecks.
- Collaborate cross-functionally with data scientists, analysts, and backend engineers on modelling, governance, and integration.
MINIMUM QUALIFICATIONS
- Strong programming skills in Python and SQL.
- Hands‑on experience with relational and NoSQL databases, data lakes, and lakehouse technologies (e.g. Delta Lake, Parquet).
- Experience working with cloud infrastructure (Azure, AWS, or GCP).
- Familiarity with CI/CD pipelines and automated testing practices.
- Strong data quality and observability experience including metrics, tracing, and alerting.
- Experience working with data governance practices including lineage, cataloguing, access control, data contracts, and regulatory compliance.
Equal Opportunity & Inclusion Statement
Neko Health is committed to inclusive hiring and member-first care. We welcome candidates from all backgrounds and encourage you to request reasonable adjustments to support your application.
Data Engineer employer: Neko Health
At MissionNeko, we are not just redefining healthcare; we are creating a culture of innovation and collaboration that empowers our employees to make a real difference in people's lives. As a Data Engineer, you will thrive in an environment that values your contributions, offers continuous learning opportunities, and supports your professional growth while working with cutting-edge technology in a mission-driven setting. Join us in our commitment to preventative care and enjoy the unique advantage of being part of a team that thinks big and prioritises meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Data Engineer role at MissionNeko.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data pipelines, models, or any projects you've worked on. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on Python, SQL, and cloud infrastructure. Practice common data engineering problems and be ready to discuss your past projects. Confidence is key, so show them you know your stuff!
✨Apply Through Our Website
Make sure to apply directly through the MissionNeko website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our mission to revolutionise healthcare!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Engineer role. Highlight your programming skills in Python and SQL, and showcase any hands-on experience with databases and cloud infrastructure. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data-driven healthcare innovation and explain how you can contribute to our team. Be genuine and let us know why you’re excited about the opportunity at MissionNeko.
Showcase Relevant Projects:If you've worked on projects involving data pipelines, analytics, or machine learning, make sure to include them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at Neko Health
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines, data models, and the specific technologies mentioned in the job description, like Python, SQL, and cloud platforms. Being able to discuss your hands-on experience with these tools will show that you're not just familiar with them, but that you can actually apply them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to data quality and governance. Think of examples where you had to troubleshoot issues or optimise data infrastructure. This will demonstrate your ability to think critically and act decisively in a fast-paced environment.
✨Understand the Company’s Mission
Familiarise yourself with MissionNeko's mission of preventative care and how data plays a role in that. Be ready to articulate how your skills as a Data Engineer can contribute to making healthcare more accessible and effective. This shows that you’re not just looking for a job, but that you genuinely care about the impact of your work.
✨Prepare Questions That Matter
Have a list of thoughtful questions ready to ask your interviewers. Inquire about their current data challenges, how they measure success in their data initiatives, or what the team culture is like. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
