1 to 25 of 100 ETL Jobs in the North East

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

in: Azure Data & AI services (e.g., Azure Machine Learning, Azure OpenAI, Cognitive Services, Synapse) Programming with Python for data and AI workloads Data pipelines, ETL/ELT processes, and analytics foundations App development techniques to integrate AI capabilities Working in secure, enterprise-ready cloud environments Consulting fundamentals and effective customer More ❯

in: Azure Data & AI services (e.g., Azure Machine Learning, Azure OpenAI, Cognitive Services, Synapse) Programming with Python for data and AI workloads Data pipelines, ETL/ELT processes, and analytics foundations App development techniques to integrate AI capabilities Working in secure, enterprise-ready cloud environments Consulting fundamentals and effective customer More ❯

systems Building and maintaining Power BI dashboards and reports Supporting manufacturing and commercial teams with data-driven insights Developing and optimizing data pipelines and ETL processes Collaborating with stakeholders to define KPIs and reporting needs What You'll Need Experience with Power BI (DAX, data modeling, visualizations) Solid SQL skills More ❯

in Azure. Solid experience with data processing frameworks (Databricks/Azure SQL). Proficiency in SQL, Python, or other programming languages. Strong understanding of ETL processes, data modelling, and optimisation techniques. A collaborative mindset and the ability to work with cross-functional teams in a fast-paced environment. More ❯

in Azure. Solid experience with data processing frameworks (Databricks/Azure SQL). Proficiency in SQL, Python, or other programming languages. Strong understanding of ETL processes, data modelling, and optimisation techniques. A collaborative mindset and the ability to work with cross-functional teams in a fast-paced environment. More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

OAC). Should be aware about process of creating Semantic data model in FDI. Proven experience in data modeling, data extraction, transformation, and loading (ETL) using Oracle Cloud tools Hands-on experience in creating dashboards, KPIs, custom reports, and visual analytics for Finance, Supply Chain, and HCM modules Strong understanding More ❯