3 of 3 ETL Jobs in Cambridge

data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data More ❯

or AI/ML role in the NHS Knowledge Essential Knowledge of cloud environments and architectures Extensive up-to-date knowledge of best practices in software development, data engineering, ETL and data science Knowledge of information technology and its impact on data Extensive knowledge of data protection and GDPR Understanding of Cybersecurity and common issues Extensive knowledge of using data … software and programming language Skilled in implementation and optimization of data management systems (Databases/Datasets/DataLakes/Lakehouses) Ability to design and implement data pipeline technologies to extract sensitive information from databases/datasets to help understand a process or solve a problem and make informed recommendations based on detailed data insight Ability to analyse complex and sometimes More ❯

as satellite imagery, mapping feeds, or location-tagged data Contribute to the design of modern data architectures in line with MOD standards Requirements: Demonstrable experience in data engineering or ETL development using tools like Spark, Python, or SQL Familiarity with cloud platforms (AWS, Azure, or MODCloud) and data services Experience building and automating data pipelines using tools like Airflow, dbt … interviews conducted mainly across Teams. We’re looking for someone to join as soon as possible, though we’re happy to wait for the right person. Keywords: Data Engineer, ETL, AWS, Azure, GCP, Cloud, Python, SQL, Spark, Engineer, Data Engineer More ❯