Elsevier's SciBite team is seeking a DataOps Engineer to maintain and enhance data and ontology pipelines, collaborating with Ontology and Data Science to build vocabularies and data products, and to automate processes that boost efficiency and customer outcomes. You will work with AWS Batch, Step Functions, and Lambda-based solutions, support production environments, and contribute to continuous improvement of DataOps tooling while promoting a healthy work/life balance and flexible working #J-18808-Ljbffr
DataOps Engineer: Python Pipelines & Ontologies employer: Elsevier Inc.
At Elsevier, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and creativity within the scientific community. As a Senior Scientific Editor in Cell Genomics, you will benefit from comprehensive health and wellness programs, a competitive pension scheme, and opportunities for professional growth while working in vibrant locations such as the UK, Spain, Netherlands, or China. Join us to engage with cutting-edge research and contribute to meaningful advancements in genetics and genomics.
