OverviewLa Fosse are working with a leading and well-funded outfit in the life sciences space, at the cutting edge of research and innovation. They are looking to add a Senior Data Engineer to the team as they massively scale their data platform and product offering to advance medical research.You will ideally be an experienced engineer, a confident communicator, business-facing and with several years of experience delivering cloud engineering solutions (they are open to any platform), using Python, Airflow, SQL, data modelling, ETL and real time analytics. Any experience within the life sciences space (through university and/or industry) would be a huge plus.Please note: if you hit the requirements but don’t feel quite at the senior level yet, they are also open to considering ambitious mid-levels looking for their next challenge, so please do still consider applying.Responsibilities• Deliver cloud engineering solutions using Python, Airflow, SQL, data modelling, ETL and real time analytics. • Contribute to scaling the data platform and product offering to support advanced medical research. • Communicate effectively with business stakeholders and work in a cross-functional environment. • Collaborate with the team to drive forward research initiatives through data engineering excellence.Qualifications• Several years of experience delivering cloud engineering solutions (any platform). • Proficiency with Python, Airflow, SQL, data modelling, ETL and real-time analytics. • Experience in a data engineering role with a track record of delivering scalable data solutions. • Nice-to-have: experience in the life sciences sector (through university or industry).Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyReferral programs can increase interview chances. Apply for more information to learn about this opportunity.Locations and related postings shown below are for reference only and were part of the original listing; the primary role information above remains the focus. #J-18808-Ljbffr