1 to 25 of 89 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 ❯

of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and a solutions-focused mindset. Desirable experience includes: AWS or More ❯

of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and a solutions-focused mindset. Desirable experience includes: AWS or More ❯

of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and a solutions-focused mindset. Desirable experience includes: AWS or 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 ❯

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 ❯

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 Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data sets, identify issues, and 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 ❯

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 ❯

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 ❯

and support their career development. About You Strong interpersonal skills and ability to influence and collaborate effectively. Expertise in Python for data engineering, pipelines, ETL, and data models. Experience managing databases (Snowflake preferred), including permissions and design. Familiarity with GitHub and agile project management. Knowledge of Power BI or similar 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 ❯

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 ❯