5 of 5 ETL Jobs in Cambridge

maintain end‐to‐end web applications—from intuitive front‐end interfaces to robust back‐end servers and APIs. Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‐driven applications. Prepare and structure data for dashboards, reporting, and machine learning solutions. Collaborate with consultants, data scientists ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

when requirements change • Excellent problem-solving skills and attention to detail • A passion for live music Nice to Have: • Experience with data pipelines and ETL processes • Previous startup or early-stage company experience • Understanding of the live music industry • Experience as a sole or founding developer • Experience working with ...

Experience working in or with Healthtech SMEs Knowledge Essential Extensive knowledge of cloud environments and architectures Strong understanding of best practices in data engineering, ETL, and data science, including test-driven development, continuous integration, and version control Comprehensive understanding of data protection laws (GDPR) and cybersecurity principles Knowledge of data … software and programming languages Skilled in data management system implementation and optimisation (Databases, Data Lakes, Lakehouses) Ability to design and implement data pipelines that extract, process, and analyse sensitive data for decision-making Experience with test-driven development and continuous integration in data pipeline designs Ability to communicate complex data ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...