At a Glance
- Tasks: Build and maintain scalable data infrastructure for a cutting-edge healthcare AI platform.
- Company: Join a rapidly scaling, venture-backed AI startup transforming healthcare decisions.
- Benefits: Competitive salary up to £90,000, plus exciting growth opportunities.
- Other info: Work closely with the founding team and make a real difference.
- Why this job: Take ownership of impactful projects in a fast-paced, innovative environment.
- Qualifications: Strong skills in Python, SQL, and data pipeline engineering required.
The predicted salary is between 90000 - 90000 £ per year.
Data Engineer up to £90,000
London This is a fantastic opportunity to join a rapidly scaling, venture-backed AI startup, where you'll take ownership of the data infrastructure behind a cutting-edge healthcare intelligence platform.
Working alongside the founding team, you'll play a pivotal role in building scalable data products from the ground up.
THE COMPANY: This high-growth healthcare AI startup is transforming how pharmaceutical, biotech and medical technology organisations make commercial decisions.
The platform provides access to millions of healthcare professional profiles, prescribing insights, claims data and market intelligence, helping customers identify key experts, optimise engagement strategies and support successful drug launches.
THE ROLE: You will take ownership of the production data infrastructure powering the company's core platform, working across data engineering, AI, data acquisition and product development.
Key responsibilities include
- Building and maintaining scalable ETL and ELT pipelines using Python and SQL.
- Developing robust data ingestion and acquisition processes across large and complex datasets.
- Leveraging LLMs and AI APIs for data extraction, classification and validation.
- Designing schemas, implementing deduplication processes and managing entity resolution.
- Taking projects from initial concept through to production deployment with full ownership.
YOUR SKILLS AND EXPERIENCE: You will bring strong capability in
- Python development.
- SQL and production data pipeline engineering.
- ETL/ELT development and large-scale data processing.
- End-to-end ownership of engineering projects.
- Working independently in a fast-paced startup environment.
- Strong problem-solving and technical aptitude.
- THE BENEFITS: You will receive a salary of up to
£90,000 depending on experience, alongside: HOW TO APPLY: Please register your interest by sending your CV to
Molly Bird via the apply link on this page.
Data Engineer (start up) in London employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (start up) in London
✨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 Harnham - Data & Analytics Recruitment Careers!
✨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 (start up) at Harnham - Data & Analytics Recruitment Careers.
✨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 Harnham - Data & Analytics Recruitment Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer (start up) at Harnham - Data & Analytics Recruitment Careers, 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 (start up) in London
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 Harnham - Data & Analytics Recruitment Careers, 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 Harnham - Data & Analytics Recruitment Careers. 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 Harnham - Data & Analytics Recruitment Careers
✨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 Harnham - Data & Analytics Recruitment Careers!
✨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.
