At a Glance
- Tasks: Build and optimise data pipelines while integrating large datasets for innovative solutions.
- Company: Join a rapidly growing tech company transforming the pharmaceutical industry.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Work in Central London with a high-performing team and significant ownership.
- Why this job: Make a real impact by solving complex data challenges in healthcare.
- Qualifications: Strong Data Engineering experience with advanced Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
We're partnering with a rapidly growing, venture-backed technology company that is transforming how pharmaceutical organisations use complex data to drive strategic decision-making. We're looking for a Data Engineer to join a high-performing team building scalable data platforms and delivering innovative solutions for enterprise clients.
Central London (minimum 3 days per week in the office)
Start date: This is an urgent hire, therefore applicants with notice periods longer than one month will not be suitable.
What you'll be doing:
- Building and optimising ETL/ELT pipelines
- Integrating large structured and unstructured datasets
- Developing data acquisition and web-scraping processes
- Using LLMs for data extraction, validation and enrichment
- Working across cloud-based environments including Azure and Databricks
- Collaborating closely with product, commercial and engineering teams
Requirements:
- Strong Data Engineering experience
- Advanced Python and SQL skills
- Experience building production-grade data pipelines
- Experience with APIs, data integration and large datasets
- Experience using LLMs within data workflows
- Healthcare, pharmaceutical or life sciences data experience
- Strong problem-solving skills and a proactive, ownership mindset
This is an excellent opportunity for someone who enjoys solving complex data challenges, wants significant ownership, and is excited by the opportunity to help build a growing technology business.
Data Engineer in London employer: i-Pharm Consulting
i-Pharm Consulting is an exceptional employer that values the expertise of its medical professionals, offering a fully remote Medical Director role that allows for flexibility and work-life balance. With a strong focus on employee growth and collaboration across global teams, the company fosters a supportive work culture where physicians can thrive in their careers while contributing to meaningful international programmes in Neurology, Rheumatology/Immunology, and Nephrology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Get Involved in Data Science Meetups
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✨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 at i-Pharm 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 i-Pharm Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at i-Pharm 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 Data Engineer 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 i-Pharm 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 i-Pharm 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 i-Pharm 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 i-Pharm 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.
