1 to 25 of 125 ETL Jobs in West Yorkshire

systems. Support the adoption and optimisation of MDM tools and processes. 4. ETL Development & Data Processing Develop and maintain ETL processes to extract, transform, and load data from diverse sources. Monitor and troubleshoot data flow and processing issues. 5. Data Governance & Quality Assurance Enforce data governance standards and ensure data … to identify root causes and implement effective resolutions. Skills & Experience Essential: Strong experience in developing and maintaining enterprise data warehouses. Proficiency in designing and managing ETL processes and integration pipelines. Practical knowledge of master data management principles. Familiarity with both legacy and cloud-based application environments. Attention to detail with More ❯

systems. Support the adoption and optimisation of MDM tools and processes. 4. ETL Development & Data Processing Develop and maintain ETL processes to extract, transform, and load data from diverse sources. Monitor and troubleshoot data flow and processing issues. 5. Data Governance & Quality Assurance Enforce data governance standards and ensure data … to identify root causes and implement effective resolutions. Skills & Experience Essential: Strong experience in developing and maintaining enterprise data warehouses. Proficiency in designing and managing ETL processes and integration pipelines. Practical knowledge of master data management principles. Familiarity with both legacy and cloud-based application environments. Attention to detail with More ❯

systems. Support the adoption and optimisation of MDM tools and processes. 4. ETL Development & Data Processing Develop and maintain ETL processes to extract, transform, and load data from diverse sources. Monitor and troubleshoot data flow and processing issues. 5. Data Governance & Quality Assurance Enforce data governance standards and ensure data … to identify root causes and implement effective resolutions. Skills & Experience Essential: Strong experience in developing and maintaining enterprise data warehouses. Proficiency in designing and managing ETL processes and integration pipelines. Practical knowledge of master data management principles. Familiarity with both legacy and cloud-based application environments. Attention to detail with More ❯

reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment. Excellent communication and collaboration skills. More ❯

What we're looking for: Solid hands-on experience with Azure Data Platform tools (e.g., Synapse, Data Lakes, ADF) Strong background in data modelling, ETL/ELT processes, and data integration Proficiency in SQL and Python (ideally with PySpark) Familiarity with Power BI, Microsoft Fabric, and CI/CD tools More ❯

What we're looking for: Solid hands-on experience with Azure Data Platform tools (e.g., Synapse, Data Lakes, ADF) Strong background in data modelling, ETL/ELT processes, and data integration Proficiency in SQL and Python (ideally with PySpark) Familiarity with Power BI, Microsoft Fabric, and CI/CD tools More ❯

What we're looking for: Solid hands-on experience with Azure Data Platform tools (e.g., Synapse, Data Lakes, ADF) Strong background in data modelling, ETL/ELT processes, and data integration Proficiency in SQL and Python (ideally with PySpark) Familiarity with Power BI, Microsoft Fabric, and CI/CD tools More ❯

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Essential: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Essential: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Essential: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. More ❯

and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. More ❯

and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

e.g., version control for data/models, CI/CD for machine learning, containerization (Docker, Kubernetes), and pipeline orchestration. Understanding of data engineering principles (ETL/ELT processes, data warehousing) to oversee data pipeline development. Leadership and Team Management: Excellent leadership skills with a track record of leading cross-functional More ❯

e.g., version control for data/models, CI/CD for machine learning, containerization (Docker, Kubernetes), and pipeline orchestration. Understanding of data engineering principles (ETL/ELT processes, data warehousing) to oversee data pipeline development. Leadership and Team Management: Excellent leadership skills with a track record of leading cross-functional More ❯

e.g., version control for data/models, CI/CD for machine learning, containerization (Docker, Kubernetes), and pipeline orchestration. Understanding of data engineering principles (ETL/ELT processes, data warehousing) to oversee data pipeline development. Leadership and Team Management: Excellent leadership skills with a track record of leading cross-functional More ❯

Effective communication and interpersonal skills. Ability to work independently and efficiently as part of a team, delivering in a fast-paced environment Experience with ETL processes and tools including SSIS. Knowledge of programming languages such as Python or R. Familiarity with financial software and ERP systems. Advanced Excel skills. Qualifications More ❯

Spoke architecture patterns. Experience and detailed understanding of AWS and/or Azure data provision through a loosely coupled cloud stack including Data Integration (ETL/ELT) eg Spark and/or Informatica, Data Quality, Data Catalogue, data storage to provide multi-cloud analytical and insight data for our critical More ❯

Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem More ❯

Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem More ❯

Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem More ❯

reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor More ❯