1 to 25 of 1,255 ETL Jobs in England

Mathematics Preferred : Experience in the financial services industry, preferably with exposure to market risk or counterparty credit risk applications Experience in ETL (extract, transform and Load) development Some Cloud experience will be a nice plus. Personal Attributes: Strong analytical, verbal and written communication skills Self-starter and entrepreneurial in approach More ❯

to data storage and processing systems. This includes automating data collection, cleaning, and integration processes to support analytics and reporting needs. Develop and optimize ETL processes: Create and enhance ETL (Extract, Transform, Load) processes to extract data from multiple sources, transform it into a usable format, and load it into … Perform regular database tuning, indexing, and query optimization to maintain high performance and reliability. Create and maintain documentation: Develop comprehensive documentation for data pipelines, ETL processes, and data architecture. Ensure that documentation is up-to-date, clear, and accessible to relevant stakeholders, facilitating knowledge sharing and continuity. Monitor and troubleshoot More ❯

Modelling, Database & Data Platform Design. Proficiency in creating logical & physical data models. Knowledge of relational (SQL) and non-relational (NoSQL) database systems. Understanding of ETL/ELT Processes. Solid understanding of Data Integration & Architecture. Experience with data integration. Data warehousing concepts. Data flow design. Experience working with cloud computing on More ❯

expert in cloud data engineering, providing technical guidance and mentorship to the team. Drive the design, development, and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g., AWS Glue, AWS Lambda, AWS S3, AWS Redshift, AWS EMR). Develop and maintain data quality checks More ❯

expert in cloud data engineering providing technical guidance and mentorship to the team. Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks More ❯

expert in cloud data engineering providing technical guidance and mentorship to the team. Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks More ❯

Stream Analytics, and Event Hub. Experience working with the Microsoft Azure cloud-based ecosystem Experience in extracting data from heterogeneous data sources by using ETL tools Experience in creating and managing SSAS Tabular models, creating Dimension and Fact Tables. Finance or Insurance domain Reporting Tools: Power BI, Cognos, MicroStrategy. What More ❯

Azure- The Skills You'll Need to Succeed: Mastery of Data bricks, Python/PySpark and SQL/SparkSQL. Experience in Big Data/ETL (Spark and Data bricks preferred). Expertise in Azure. Proficiency with versioning control (Git preferred). Knowledge of and/or experience with using or More ❯

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation. Proficiency in working with APIs and integrating them More ❯

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation. Proficiency in working with APIs and integrating them More ❯

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation. Proficiency in working with APIs and integrating them More ❯

using Azure based data warehouse technologies such as Azure Data Factory, Analysis Services, SQL server and Azure Synapse. Data Pipeline Creation: Build and optimize ETL/ELT data pipelines using Azure Data Factory, Databricks, or similar services to ensure data is properly ingested, transformed, and loaded into the data warehouse. More ❯

using Azure based data warehouse technologies such as Azure Data Factory, Analysis Services, SQL server and Azure Synapse. Data Pipeline Creation: Build and optimize ETL/ELT data pipelines using Azure Data Factory, Databricks, or similar services to ensure data is properly ingested, transformed, and loaded into the data warehouse. More ❯

using Azure based data warehouse technologies such as Azure Data Factory, Analysis Services, SQL server and Azure Synapse. Data Pipeline Creation: Build and optimize ETL/ELT data pipelines using Azure Data Factory, Databricks, or similar services to ensure data is properly ingested, transformed, and loaded into the data warehouse. More ❯

using Azure based data warehouse technologies such as Azure Data Factory, Analysis Services, SQL server and Azure Synapse. Data Pipeline Creation: Build and optimize ETL/ELT data pipelines using Azure Data Factory, Databricks, or similar services to ensure data is properly ingested, transformed, and loaded into the data warehouse. More ❯

transparency and standardization across teams. Data Migration & Transformation: - Lead data migration efforts, particularly during system upgrades or transitions to new platforms. - Define and implement ETL (Extract, Transform, Load) processes for transforming data into usable formats for analytics and reporting. Documentation and Reporting: - Document data architecture designs, processes, and standards for … big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau More ❯

transparency and standardization across teams. Data Migration & Transformation: - Lead data migration efforts, particularly during system upgrades or transitions to new platforms. - Define and implement ETL (Extract, Transform, Load) processes for transforming data into usable formats for analytics and reporting. Documentation and Reporting: - Document data architecture designs, processes, and standards for … big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau More ❯

Data Engineer - FinTech Company - Newcastle (Tech Stack: Data Engineer, Databricks, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) I’m working with a leading Software House in the FinTech industry, based in Newcastle, who are looking to hire a talented Data Engineer . This is a fantastic More ❯

Data Engineer - FinTech Company - Newcastle (Tech Stack: Data Engineer, Databricks, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) I’m working with a leading Software House in the FinTech industry, based in Newcastle, who are looking to hire a talented Data Engineer . This is a fantastic More ❯

Data Engineer - FinTech Company - Newcastle (Tech Stack: Data Engineer, Databricks, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) I’m working with a leading Software House in the FinTech industry, based in Newcastle, who are looking to hire a talented Data Engineer . This is a fantastic More ❯

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation. Proficiency in working with APIs and integrating them More ❯

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation. Proficiency in working with APIs and integrating them More ❯

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation. Proficiency in working with APIs and integrating them More ❯

sets to meet business and technical requirements. Process Improvement: Identify and implement process enhancements, automate manual tasks, and optimize data delivery. Data Integration: Build ETL infrastructure to ensure smooth data extraction, transformation, and loading. Collaboration: Work alongside stakeholders, including data scientists and analysts, to meet data infrastructure needs. Data Quality More ❯

Microsoft Fabric, including Lakehouse (Delta format), OneLake, Pipelines & Dataflows Gen2, Notebooks (PySpark), Power BI & Semantic Models. Possess a solid understanding of data integration patterns, ETL/ELT, and modern data architectures. Be familiar with CI/CD practices in a data engineering context. Have excellent SQL and Spark (PySpark) skills. More ❯