1 to 25 of 67 ETL Jobs in the West Midlands

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

contributory pension scheme with a generous employer contribution. Main Duties Creative and innovate with HSBC's data to build and enhance applications, data models, ETL pipelines and provide insight on customer satisfaction. Curious and explore HSBC tooling & Data to improve reporting & insight capabilities. Collaborative across HSBC UK and the wider More ❯

reporting requirements. Connect to various data sources (e.g., SQL Server, Azure SQL Database, Excel, SharePoint, APIs, Dataverse) and perform data extraction, transformation, and loading (ETL) using Power Query (M language). Develop efficient and scalable data models within Power BI, establishing relationships and hierarchies. Write complex DAX (Data Analysis Expressions … Modelling, and DAX. Demonstrable experience in designing and developing effective data visualizations and dashboards. Solid understanding of database management systems, data warehousing concepts, and ETL processes. Experience querying databases using SQL. Excellent analytical, problem-solving, and critical-thinking skills. Strong communication and interpersonal skills, with the ability to translate business More ❯

Underwriting and Pricing Data Team, with a focus on data mapping, stakeholder collaboration, and data integration and transformation. SKILLS AND EXPERIENCE Strong SQL Strong ETL experience (Azure Data Factory or SSIS) Data Visualisation, preferably Power BI APPLY Send your CV to riversteytler@harnham.com if you would like to apply for More ❯

its expanding IT operation To be considered for these positions you will need to have experience in the following areas - Good Data Engineering/ETL development experience - Data design experience in an MI/BI/Analytics environment (for example Kimball, lake house, data lake) - Good experience working in a More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯