Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines to drive scientific innovation in drug discovery.
- Company: Join a VC-backed startup transforming drug design with cutting-edge AI technology.
- Benefits: Enjoy hybrid work options, a vibrant team culture, and the chance to make a real impact.
- Why this job: Be at the forefront of AI in pharmaceuticals, collaborating with industry leaders for meaningful change.
- Qualifications: Bachelor’s or Master’s in Computer Science or related field; experience in data engineering preferred.
- Other info: Exciting opportunity to work in a fast-paced environment focused on improving patient outcomes.
The predicted salary is between 36000 - 60000 £ per year.
A well-funded VC backed start up is on a mission to transform drug design through cutting-edge AI, making the process faster, smarter, and more efficient. They are building an advanced AI platform to solve real-world challenges in drug discovery, partnering with industry leaders to bring impactful solutions to life.
We are looking for a talented Data Engineer to join this vibrant start up and play a key role in shaping how they collect, store, and use data to drive scientific innovation. If you are passionate about working with data and want to contribute to groundbreaking advancements in pharmaceuticals, please get in touch.
What You Will Do
- Design, develop, and maintain scalable data pipelines and ETL processes to integrate data from various sources, including public datasets, customer databases, and laboratory instruments.
- Work closely with data scientists, bioinformaticians, and software engineers to ensure data is accurate, accessible, and ready for analysis.
- Implement and optimise data storage solutions, including relational and NoSQL databases, data lakes, and cloud-based platforms such as AWS.
- Develop and enforce data governance policies to ensure data quality, consistency, and security.
- Create and maintain clear documentation of data sources, flows, models, and ETL processes.
- Use data visualisation tools to build dashboards and reports that provide valuable insights.
- Monitor and troubleshoot data pipeline performance, resolving issues and making improvements where needed.
Requirements
- A Bachelor’s or Master’s degree in Computer Science, Cheminformatics, Bioinformatics, or a related field.
- Proven experience as a Data Engineer, ideally in the pharmaceutical or biotechnology sectors.
- Strong skills in Python and SQL for data processing and analysis.
- Experience with data pipeline and workflow management tools such as Argo Workflows, Prefect, or Temporal.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud and their data services.
- Hands-on experience with big data technologies such as Spark, Kafka, and Iceberg.
- Knowledge of data modelling, database design, and data warehousing best practices.
- Experience with data visualisation tools like Superset, Grafana, or Metabase.
- Strong problem-solving skills, the ability to work independently and collaborate effectively with a team.
- Excellent organisational and time-management skills.
- A passion for drug discovery and a drive to make a meaningful impact in the field.
If you are excited by the opportunity to work in a dynamic, fast-paced environment where data plays a critical role in scientific discovery, we would love to hear from you. You’ll be part of an innovative, collaborative team dedicated to revolutionising the pharmaceutical industry and improving patient outcomes worldwide. If you're passionate about technology, science, and making a global impact, and want to be at the forefront of the future of drug discovery, then this is definitely the opportunity for you. Get in touch to discuss the opportunity in more detail. Alternatively, please send over your CV and, if suitable, the KEMIO team will be in contact to organise a conversation!
Apply now and be part of something extraordinary!
Data Engineer - Hybrid - London employer: Kemioconsulting
Contact Detail:
Kemioconsulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Hybrid - London
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, SQL, and big data tools like Spark and Kafka. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with professionals in the pharmaceutical and biotechnology sectors. Attend industry meetups or webinars to connect with potential colleagues and learn more about the latest trends in data engineering within this field.
✨Tip Number 3
Prepare to discuss your experience with data governance and quality assurance. Be ready to share examples of how you've implemented data policies in previous roles, as this is crucial for ensuring data integrity in a scientific context.
✨Tip Number 4
Show your passion for drug discovery and its impact on patient outcomes. Research recent advancements in pharmaceuticals and be prepared to discuss how data engineering plays a role in these innovations during your conversations.
We think you need these skills to ace Data Engineer - Hybrid - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your expertise in data engineering, particularly in Python, SQL, and any big data technologies you've worked with.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for drug discovery and how your background makes you a perfect fit for the role. Mention specific projects or experiences that demonstrate your ability to design and maintain data pipelines.
Showcase Relevant Projects: If you have worked on projects related to data pipelines, ETL processes, or data visualisation, include them in your application. Provide brief descriptions of your role and the impact of these projects.
Highlight Soft Skills: In addition to technical skills, emphasise your problem-solving abilities, teamwork, and organisational skills. These are crucial for collaborating with data scientists and bioinformaticians in a fast-paced environment.
How to prepare for a job interview at Kemioconsulting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any data pipeline tools you've used. Highlight specific projects where you designed or optimised data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Research the start-up's focus on drug design and AI. Be ready to explain how your skills can contribute to their mission of transforming pharmaceuticals, showing that you're not just interested in the role but also in their vision.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data pipeline performance and troubleshooting. Think of examples from your past work where you successfully resolved issues and improved processes.
✨Demonstrate Collaboration Skills
Since the role involves working closely with data scientists and bioinformaticians, be ready to discuss your experience in collaborative environments. Share examples of how you’ve effectively communicated and worked within a team to achieve common goals.
