At a Glance
- Tasks: Design and maintain data pipelines to transform healthcare data into actionable insights.
- Company: BGBx, a dynamic partner in pharmaceutical and life sciences innovation.
- Benefits: Competitive salary, health insurance, generous time off, and professional development opportunities.
- Other info: Join a fun, curious team focused on collaboration and innovation.
- Why this job: Make a real impact on healthcare while working with cutting-edge data technologies.
- Qualifications: 3-5 years of data engineering experience with strong Python and SQL skills.
The predicted salary is between 75000 - 75000 £ per year.
About Us
At BGBx, we're driven by a simple idea: breakthrough thinking creates breakthrough impact.
As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges.
Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle.
The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day.
If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx.
Position Overview
We are looking for a Data Engineer with 3-5 years of experience building and maintaining data pipelines.
You will develop solutions that extract, process, and transform internal and external data into reliable, usable datasets for analysis and other downstream applications.
This is an engineering-focused role requiring strong coding skills, database knowledge, and experience working with modern cloud data technologies.
Responsibilities
- Design, build, and maintain ETL/ELT data pipelines.
- Extract, clean, transform, and model data from internal and external sources.
- Develop data solutions using Python and SQL.
- Work with large-scale datasets and cloud-based data infrastructure.
- Support data consumers, including analysts, data scientists, and product teams.
- Monitor pipeline health, troubleshoot failures, and optimize performance.
Qualifications
- 3-5 years of hands-on data engineering experience building and maintaining data pipelines.
- Strong Python and SQL skills.
- Experience with at least one cloud data warehouse, such as Big Query, Redshift, Snowflake, Click House, Greenplum, or Vertica.
- Familiarity with an orchestration tool such as Airflow, Dagster, Prefect, or Flyte.
- Cloud platform experience with GCP, AWS, or Azure.
- Strong database knowledge and problem-solving skills.
- Nice to Have
- Experience with BI/visualization tools such as Tableau, Looker, Power BI, Superset, or Metabase.
- Knowledge of data modeling concepts such as dimensional modeling or Data Vault.
- Experience with Spark, Databricks, or Apache Beam.
- Familiarity with infrastructure-as-code tools such as Terraform.
- Open-source contributions or other technical projects demonstrating hands-on engineering skills.
Why Join Us?
- Small team energy, big company support-backed by BGBx and Kx
- High-impact work, early responsibility-you'll contribute from day one
- A learning-first culture-mentorship, peer support, and space to grow
- A genuinely fun, curious environment-we take the work seriously, not ourselves
- Strategy meets creativity-where insight, brand, and behavior collide
- A future-facing mission-everything we do aims to improve lives
If you're ready to bring curiosity, strategy, and creativity together to reimagine healthcare-and make a real difference to people's lives, let's talk.
Salary range
EUR60,000 - EUR75,000 /year base plus bonus eligible
What We Offer
At BGBx, we invest in our people because exceptional talent drives exceptional work.
We provide a competitive rewards package designed to support your health, well-being, professional growth, and life outside of work.
Our benefits package typically includes health care insurance, retirement plans, generous paid time off and holidays, wellness benefits, life insurance, learning and development opportunities, and other resources that support our employees throughout their careers.
Additional benefits may be available based on your location.
Beyond benefits, you'll find a culture built on collaboration, innovation, inclusion, and the opportunity to make a meaningful impact on healthcare and the people it serves.
BGBx is an equal opportunity employer.
All applicants will be considered without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, disability, veteran status or any category or class of person protected by law.
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Data Engineer employer: BGBx
At BGBx, we pride ourselves on being an exceptional employer that fosters a culture of collaboration and innovation. Our small team energy combined with the support of a larger organisation allows for high-impact work and early responsibility, ensuring that you can make a meaningful difference from day one. With a strong focus on professional growth, mentorship, and a genuinely fun environment, we are committed to investing in our employees' well-being and career development, making BGBx a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land 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 BGBx!
✨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 BGBx.
✨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 BGBx.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at BGBx, 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
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 BGBx, 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 BGBx. 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 BGBx
✨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 BGBx!
✨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.
