At a Glance
- Tasks: Build and optimise data pipelines to power analytics and reporting.
- Company: Join Semble, a mission-driven tech company transforming healthcare.
- Benefits: Enjoy remote work, autonomy, and a supportive team culture.
- Other info: Inclusive workplace welcoming diverse backgrounds and perspectives.
- Why this job: Make a real impact in healthcare with innovative technology.
- Qualifications: 3-5 years of data engineering experience and strong Python & SQL skills.
The predicted salary is between 60750 - 74250 £ per year.
Are you looking to be part of something special, like shaping the future of healthcare? We are looking for a Data Engineer to help build, test, and optimise the pipeline powering our analytics, reporting, and data products. This is a role with real ownership to contribute to the next generation of our platform. If this sounds like you, keep reading!
At Semble, we are on a mission to enable health professionals to amplify their impact. We improve the way healthcare is delivered to millions of people by providing doctors and their teams with powerful, innovative, intuitive, and secure software. Our cloud-based clinical system is used by thousands of clinicians across the UK, France, and beyond - making their lives easier, saving them money, and structuring health data to support better care and research.
We are a passionate and driven team, proud to unite under strong cultural drivers:
- Impact - We do work that matters.
- Collaboration – We are in it together.
- Human touch – We care deeply.
This role can be based in France or the UK, or contracted in selected EU countries, full remote.
What you will be doing:
- Build and maintain ELT pipelines, monitor pipeline health and data freshness.
- Write and maintain config-driven pipeline definitions and deploy workflows to Databricks across a multi-tenant environment.
- Extend our modelling layer, support CI/CD and ingestion projects.
- Collaborate with data and product teams to deliver reliable, well-tested data.
- Participate in code reviews and help evolve platform standards and documentation.
What we’re looking for:
- 3–5 years of data engineering experience.
- Strong Python & SQL skills.
- Experience with Apache Spark / PySpark.
- Ability to monitor, troubleshoot, and resolve pipeline failures.
- Familiarity with lakehouse concepts.
- Experience with Git, Databricks, streaming / CDC, AWS, Great Expectations.
Nice to have:
- Exposure to YAML.
- Experience building analytics data models in Spark.
What you’ll get in return:
- Autonomy and ownership – we’ll set the vision and share the context, then we trust you to run with things – that’s why we hire you!
- Work alongside an inspiring team – our founders started Semble after a successful startup exit, and your future colleagues are all knowledgeable and innovators in their field.
We welcome applications from people of all backgrounds and all walks of life, including underrepresented groups in the tech industry. We also encourage applications from disabled and neurodiverse candidates. If there are any adjustments we can make to support you throughout the recruitment process, please do let us know.
Data Engineer (Mid-Level) employer: Semble
At Semble, we pride ourselves on being an exceptional employer, offering a unique opportunity for a Senior Technical Support Engineer to shape the future of healthcare technology. Our hybrid work environment promotes flexibility and autonomy, allowing you to thrive while making a meaningful impact in a collaborative culture that embraces innovation and continuous improvement. With generous benefits including 36 days off, private health insurance, and a vibrant office space in Central London, we ensure our employees are supported both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Mid-Level)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Semble!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer (Mid-Level) at Semble.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Semble.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer (Mid-Level) at Semble, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer (Mid-Level)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Semble, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Semble. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Semble
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Semble!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
