At a Glance
- Tasks: Design and build data pipelines for healthcare using Python and SQL.
- Company: Exciting London-based healthtech startup with a focus on innovation.
- Benefits: Competitive salary, high autonomy, and the chance to influence technical direction.
- Other info: Join a fast-growing team with significant career growth opportunities.
- Why this job: Tackle real-world healthcare data challenges and build impactful products from scratch.
- Qualifications: Strong experience in data pipelines, Python, SQL, and AI tooling.
The predicted salary is between 70000 - 70000 £ per year.
Data Engineer | Healthcare Data & AI Pipelines
Do you enjoy solving genuinely difficult data problems?
We're supporting a growing London-based healthtech startup that is building data pipelines for pharmaceutical and life sciences organisations.
Rather than maintaining existing platforms, you'll help design, build and scale data products from the ground up.
This is a hands-on engineering role where you'll work directly with messy, unstructured healthcare data, transforming it into clean, usable datasets while leveraging AI tools for extraction, classification and validation.
- What You'll Be Doing
- Building production-grade ETL/ELT pipelines using Python and SQL
- Integrating AI capabilities into data workflows for extraction, classification and data quality improvement
- Designing schemas, data models and normalisation processes
- Solving entity resolution and deduplication challenges
- Developing large-scale data acquisition and scraping solutions
- Contributing across the stack, including delivering simple user-facing interfaces where required
What We're Looking For
- Strong experience building and owning data pipelines end-to-end
- Python and SQL expertise in production environments
- Experience using AI tooling and APIs within engineering workflows
- Data acquisition, scraping or ingestion experience
- Understanding of healthcare, life sciences or pharmaceutical data
- Comfortable working in a startup environment with high autonomy
Why Join?
- Build products from day one rather than maintain legacy systems
- Work directly with founders and influence technical direction
- Solve complex real-world healthcare data challenges
- Join a business moving quickly with significant growth ambitions
- Additional Information
- London office based (minimum 3 days per week, ideally more)
- Salary: Up to £70,000 base salary
- Short notice periods or immediately available candidates are particularly welcomed
- #J-18808-Ljbffr
Senior Data Engineer employer: RBW Consulting
Join a dynamic healthcare manufacturing site in Trefriw, North Wales, where you can make a significant impact as a Laboratory Supervisor. We offer a supportive and collaborative work culture that prioritises professional growth, with opportunities to lead a dedicated team and influence quality standards. Enjoy a competitive salary, career development prospects, and the chance to work in a beautiful location while contributing to meaningful advancements in laboratory science and compliance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 RBW Consulting!
✨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 Senior Data Engineer at RBW Consulting.
✨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 RBW Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at RBW Consulting, 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 Senior Data Engineer
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 RBW Consulting, 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 RBW Consulting. 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 RBW Consulting
✨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 RBW Consulting!
✨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.
