8 of 8 Permanent ETL Jobs in Cambridgeshire

platforms, with a strong understanding of data engineering principles and cloud-based technologies. You will be proficient in Python, SQL, and at least one ETL/ELT framework, with the ability to develop scalable solutions that support data processing, analytics, and AI-driven applications. Experience working with relational and NoSQL ...

platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content preparation (SharePoint, file shares, Teams) for retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing ...

holiday entitlement, Health and wellbeing programme, health cash plans + dozens more. Potential bonus Experience: Microsoft Power Platform (Power Automate and PowerApps) Data Modelling ETL processes Experience with Reporting tools like Power BI, SSRS etc SQL Server Desirable tech – Azure, .NET, GIT, Azure DevOps Effectively, this role is responsible ...

documenting requirements from non-technical users and translating them into effective technical solutions. Strong Excel skills and a sound understanding of data modelling and ETL processes. Knowledge of T-SQL and database management, together with proficiency in DAX and Power Query M. A quick learner, keen to develop across ...

data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection A solid understanding of the ML lifecycle, from data through to model training ...

SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering practices (ETL, data lakes, big data tools like Spark). Knowledge of designing scalable, distributed systems. Familiarity with model lifecycle management and MLOps practices. Ability to align ...

secure, high-quality data and scalable analytics. You should have a degree in computing or CS, strong Python/SQL skills, and experience with ETL frameworks, Git, and cloud/databases. #J-18808-Ljbffr ...

agile practices and frequent updates. Design end-to-end data solutions: ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis … and unstructured sources Experience in Python and SQL or R, and with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control Experience develop ing predictive models and quantitative analyses that ...