2 of 2 Remote Big Data Jobs in Avon

Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality … on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and … AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction and developing their own solution Looks at the existing tech landscape and identifies improvements without prompting Desire and ability to continuously learn new technologies and practices and learn More ❯

Senior Data Engineer Next-gen diagnostics start-up Take ownership of data strategy and architecture from the ground up. Flexible, remote-first working with visits to a high-impact biotech lab. Cutting-edge work combining AI, genomics, and diagnostics to save lives. Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve … intersection of science and software. What youll be doing: Following a successful product launch and securing Series A funding, theyre scaling fast and now looking for their very first Data Engineer. Youll take the reins on all things data - shaping the architecture, strategy, and pipeline design that supports a life-saving platform. Youll be leading on the design … and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models More ❯