1 to 25 of 634 ETL Jobs in the UK excluding London

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 ❯

Good understanding with Microsoft BI toolset, including O365 tools and PowerPlatform (PowerApps/Power Automate/Power BI). • Good understanding of Azure cloud ETL toolset, including Azure SQL Server, Azure Data Factory, Datalake. • Familiar with Cloud technologies including Microsoft Azure Cloud infrastructure, data stores connections, cloud functions concepts. • Experience 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 ❯

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 ❯

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 ❯

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 ❯

with relational SQL databases either on premises or in the cloud. Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps More ❯

environments, and support data initiatives and future projects. Qualifications: Proficiency in Databricks, Python/PySpark, and SQL/SparkSQL. Experience with Big Data/ETL processes, preferably Spark and Databricks. Expertise in Azure cloud platform. Knowledge of version control systems, preferably Git. Experience with CI/CD pipelines. Knowledge of More ❯

environments, and support data initiatives and future projects. Qualifications: Proficiency in Databricks, Python/PySpark, and SQL/SparkSQL. Experience with Big Data/ETL processes, preferably Spark and Databricks. Expertise in Azure cloud platform. Knowledge of version control systems, preferably Git. Experience with CI/CD pipelines. Knowledge of More ❯

Power BI or Tableau Previous experience managing a small team Confident liasing with stakeholders and presenting to senior management Strong SQL and experience with ETL tools ( e.g. SSIS, DBT, AWS Glue) Solid understanding of data warehousing and data modelling principles Experience with modern platforms like Snowflake or Databricks Great communication More ❯

organization to address their data needs, craft agile solutions, and continuously improve the data environment. What will you be doing? Design and implement efficient ETL processes for data extraction, transformation, and loading. Build real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing More ❯

interactive Power BI dashboards, reports, and data visualizations that meet the needs of stakeholders across various departments. • Data Management & SQL Querying: Utilize SQL to extract, transform, and load (ETL) data from various sources into Power BI. Write complex SQL queries to analyze large datasets and ensure data integrity and accuracy. More ❯

IR35 contract role, ideal for a proactive engineer with deep knowledge of Azure-based data architecture and development. Key Responsibilities: Design and build scalable ETL pipelines using Azure services (ADF, Synapse, Data Lake, SQL, etc.). Ingest, process, and transform large datasets into AWS Datalake or similar platforms. Collaborate with More ❯

Deep expertise in Databricks and experience with cloud data platforms such as Snowflake, AWS or Azure; Strong proficiency in data modeling, data warehousing, and ETL/ELT architecture at scale; Advanced programming skills in SQL and Python; experience with orchestration and data pipeline tools; Demonstrated success delivering complex data architectures More ❯

your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize More ❯

your expertise could strengthen our growing data practice. As a data engineer/scientist, you will: Design, implement, and maintain scalable data pipelines and ETL processes Develop and maintain data warehouses and data lakes Implement data quality monitoring and validation systems Create and maintain data documentation and cataloguing systems Optimize More ❯

a full cloud migration. 🔧 Key Responsibilities Manage and enhance cloud-based data infrastructure (Azure) across multiple international markets Own the development and performance of ETL pipelines, ensuring integrity and consistency Lead the migration of legacy environments into Azure Cloud Maintain and synchronise Dev, Test, and Production environments using DevOps principles More ❯