1 to 25 of 434 ETL Jobs in England

automated data pipelines and infrastructure across BrisDocs clinical, operational and back-office functions. To ensure data pipelines perform high quality extraction, transformation and loading (ETL) processes that prevent any data quality and record matching issues or overcome them for legacy data systems. To deliver innovative data solutions that migrate and ...

Understanding of Direct Lake semantic modelling design considerations (model creation, table choices, and enforcing access rules). Proven experience with ingestion and transformation patterns (ETL/ELT concepts), data modelling, and delivering analytics-ready datasets. Ability to implement approaches that improve delivery reliability: data quality checks, monitoring, and operational feedback ...

considerations and enterprise data governance frameworks. As part of your duties, you will be responsible for: Design, build and maintain scalable data pipelines and ETL/ELT processes using modern cloud data engineering practices Develop and optimise data lake and data warehouse architectures on AWS Ensure high standards of data ...

analysis development. Solid SQL skills (data transformation, optimisation, and performance tuning). Proficiency in Python for data engineering and automation tasks. Good understanding of ETL/ELT processes and data modelling. Experience working within Agile delivery teams. Strong analytical skills and meticulous attention to detail. Ability to engage effectively with ...

Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required. Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake). Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform ...

ingestion pipelines into appropriate data technologies such as Snowflake from internal systems (policy admin, claims, finance) and external data sources. Build orchestrated ELT/ETL processes using modern tooling and best practice engineering patterns. Implement incremental refresh, schema evolution management, and data validation tests. Ensure data availability aligned to business ...

Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required. Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake). Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform ...

Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required. Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake). Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform ...

Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required. Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake). Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform ...

high data quality and reliability across platforms. Must have worked in the telecommunications domain. Key Responsibilities Design, develop, and maintain robust data pipelines and ETL processes Build and optimise data models to support reporting and analytics requirements Develop and enhance dashboards and reports using Power BI Write efficient and scalable ...

aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance ...

Design, Develop and Test Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting. Implement ETL/ELT Processes: Develop and Test Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data ...

Dimensional Models. Developing & delivering visually compelling Power BI Dashboards & Reports to specification. Delivering data engineering solutions with Microsoft Fabric, SQL and Python. Developing & maintaining ETL pipeline solutions in Azure Data Factory, utilising Azure Data Lake & Azure Dev Ops. Providing second and third line support for Data Team and own allocated ...

data engineering, preferably Python. Scala or Java is a plus. Solid understanding of data warehousing concepts, data modeling techniques (dimensional modeling, Kimball, Inmon), and ETL/ELT processes. Experience with version control systems (e.g., Git). Strong analytical, problem-solving, and debugging skills. Excellent communication and collaboration skills, with ...

data pipelines within Microsoft Fabric (Data Pipelines, Dataflows, OneLake, Lakehouse) Support the migration from SAP BW into a Fabric-based architecture Develop and optimise ETL/ELT processes using Fabric and/or Azure Data Factory Build and maintain scalable data models to support reporting and analytics Contribute ...

Data Lead in a modern cloud environment Strong hands-on experience with Azure Data Factory, Data Lakes and Data Warehousing Knowledge of Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent ...

with Azure Data Factory and cloud-based data environments Strong SQL skills for querying, transformation and optimisation Experience building or supporting data pipelines and ETL processes Exposure to data modelling and data warehousing concepts Working knowledge of Power BI or similar BI tools Ability to engage with stakeholders and translate ...

enterprise integration tools. A developed understanding of TOGAF or equivalent enterprise architecture frameworks. Hands-on experience in data warehousing, data lakes, data modelling, and ETL processes. Excellent stakeholder engagement skills with the ability to influence and inspire across all levels. A proactive, forward-thinking mindset with a passion for innovation ...

using a business partnering approach to ensure you meet requirements. Partnering with the Technology team on the development of the data warehouse, developing efficient ETL (extract, transform, load) processes to ensure data accuracy, consistency, and timeliness. Work with stakeholders to embed best practice in data entry, validation, and reporting. Present ...

Measures and Dimensional Models. Developing & delivering visually compelling Power BI Dashboards & Reports to specification. Delivering data engineeringsolutions with Microsoft Fabric,SQLand Python. Developing & maintaining ETL pipeline solutions in Azure Data Factory, utilising Azure Data Lake &AzureDev Ops. Providingsecondandthird linesupport for Data Team and ownallocatedsupport tickets. Monitoring the Data Warehouse load ...

Youll Do Design, build, and maintain scalable data pipelines using Azure services Develop and optimize solutions in Microsoft Fabric (Data Factory, Lakehouse, Warehousing) Implement ETL/ELT processes using tools such as Azure Data Factory Work with large datasets in Azure Synapse Analytics and Azure Data Lake Storage Collaborate with ...

into technical BI solutions. Strong analytical thinking and problem-solving skills. Desirable Skills Experience working with data warehouses or data lake architectures. Knowledge of ETL processes and data integration. Experience with Azure data services or cloud-based BI platforms. Understanding of data governance and best practices in data management. ...

partnering closely with product, BI, data science, and business stakeholders Experience required: Strong experience with Microsoft Fabric, Delta Lake, PySpark, Python, SQL, and modern ETL/ELT frameworks, alongside CI/CD practices using Azure DevOps or GitHub Hands-on expertise integrating Azure AI/ML/OpenAI, with knowledge ...

reliable, secure, and scalable data solutions. Key Responsibilities Design, develop, and maintain scalable and reliable data pipelines using cloud-native services Build and optimise ETL/ELT workflows to support high-volume data ingestion and transformation Manage and process both structured and unstructured data, ensuring high standards of data quality ...

regression, classification, NLP, forecasting, clustering) 2. Data & Analytics Engineering Alignment Work closely with data engineers to define: Data models and schemas Data quality rules ETL/ELT pipelines Define feature stores, training datasets, and inference pipelines 3. Model Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies ...