1 to 25 of 98 ETL Jobs in the Midlands

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 ❯

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 ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

data pipelines, managing data warehousing, and ensuring high-quality data is available for business decision-making. Responsibilities: Data Pipeline Development: Design, build, and maintain ETL (Extract, Transform, Load) processes to enable efficient data ingestion and transformation. Database Management: Support and optimise SQL databases, ensuring performance, reliability, and data integrity. SQL More ❯

and develop tools for analytics and reporting environments Contribute to migration, integration, and risk management activities Skills We’re Looking For: Strong experience with ETL tools (SSIS, AWS, or Azure Data Factory) Hands-on experience with cloud data platforms (Azure, AWS) and BI tools (Power BI, Pentaho BA) Solid background More ❯

to reuse existing data flows between teams. Requirements This role requires experience in data engineering with a proven track record in configuring and using ETL platforms as well as setting up and administering AWS or Azure Data Platforms. Given the collaborative nature of the environment, excellent communication skills are also More ❯

such as Tabular Editor and DAX Studio for optimisation and deployment Collaborate with DevOps to implement CI/CD pipelines in Azure DevOps Support ETL/ELT processes using Azure Data Factory, Synapse, and related services Stay current with emerging technologies, including Microsoft Fabric, to shape future data strategies Deliver More ❯

and complex data modelling using Fabric/Azure. Expertise in app/DWH development and support with Microsoft Azure/Power BI. Experience with ETL and SSIS development. Advanced skills in Power BI report/app/dashboard design using DAX and Power Query. Benefits The role is based in More ❯

SecurityUse tools such as Tabular Editor and DAX Studio for optimisation and deploymentCollaborate with DevOps to implement CI/CD pipelines in Azure DevOpsSupport ETL/ELT processes using Azure Data Factory, Synapse, and related servicesStay current with emerging technologies, including Microsoft Fabric, to shape future data strategiesDeliver insights to More ❯

making. Troubleshoot data issues and implement efficient data governance practices. Skills & Experience Proven experience in Power BI . Strong SQL skills and experience building ETL/ELT pipelines . Familiarity with Microsoft Dynamics NAV/Business Central . Ability to work independently and collaboratively on-site with cross-functional teams. More ❯

making. Troubleshoot data issues and implement efficient data governance practices. Skills & Experience Proven experience in Power BI . Strong SQL skills and experience building ETL/ELT pipelines . Familiarity with Microsoft Dynamics NAV/Business Central . Ability to work independently and collaboratively on-site with cross-functional teams. More ❯

pipeline issues Desirable skills: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such More ❯

Systems, or a related field. or a combination of education and relevant experience Query languages e.g. SQL, Java, Hive, R Data Management technologies e.g. ETL tools, data integration platforms Proven experience as a Data Architect, Data Engineer (or a related role, with a strong emphasis on data architecture design and More ❯

areas: Working with raw data, structured, semi-structured and unstructured data. Experience combining large, disconnected datasets, using relevant tools and frameworks. Building and optimizing ETL/ELT data pipelines Experience of source control, Continuous Integration, Delivery and Deployment through CICD Pipelines Knowledge and/or experience with Splunk, Kafka & Grafana More ❯

experienced data engineer with a strong technical foundation and the ability to collaborate effectively in agile, cross-functional teams. Essential experience includes: Proficiency with ETL platforms such as SSIS, AWS, or Azure Data Factory Experience configuring/administering AWS or Azure data platforms and analytics services like Power BI or More ❯

work closely with technical and non-technical teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments, particularly with large-scale data platforms. More ❯

work closely with technical and non-technical teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments, particularly with large-scale data platforms. More ❯

in AWS and/or Azure. Knowledge of PostgreSQL and Database Design Principles. Exposure to JavaScript frameworks, preferably React. Experience in designing and maintaining ETL processes. Solid understanding of Software Development Best Practices such as CI/CD. Experience working with software products focused on analytics. Bachelor's Degree (or More ❯

Javascript, Angular, ReactJS) Extensive experience with Azure Cloud Solutions (IaaS, SaaS) Extensive experience with API's microservices, container development and integrations Extensive experience with ETL Technologies like SSIS, ADF Expert knowledge of the latest Architectural Patterns and Cloud Native development Experience with Azure DevOps CI/CD pipelines Experience with More ❯

cloud-based BI architectures and services (e.g., Azure, AWS, GCP) Experience with SQL, DAX, and Power Query Understanding of modern data warehouse concepts and ETL/ELT workflows Full driver's licence and access to a vehicle Curious, looking to challenge the status quo and improve Collaborates well with both More ❯

end work, pulling and cleaning data, creating dashboards in Power BI and presenting insights back to stakeholders. YOUR SKILLS AND EXPERIENCE • Advanced SQL skills • ETL experience (Azure Data Factory or SSIS preferred) • Strong data visualisation skills (ideally Power BI) • Proven ability to interpret and communicate data insights • Experience managing workflows More ❯

more at Experience and Skills Experience analyzing large, varied data sets. Proven ability to develop sustainable, automated BI/OI solutions. Experience with data ETL tools (Azure Data Factory, AWS Glue, Postman, SSIS), visualization tools (Power BI/Tableau). Hands-on knowledge of data warehousing principles. Understanding of forecasting More ❯