51 to 75 of 429 ETL Jobs in the South East

for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of best practices. Skilled in orchestrating complex ETL workflows, integrating hybrid cloud environments, and delivering high-quality data for advanced analytics and reporting. Experience with Power BI, and building dynamic dashboards to uncover actionable insights. Excellent communication and More ❯

for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of best practices. Skilled in orchestrating complex ETL workflows, integrating hybrid cloud environments, and delivering high-quality data for advanced analytics and reporting. Experience with Power BI, and building dynamic dashboards to uncover actionable insights. Excellent communication and More ❯

monitor performance of Snowflake data warehouse environments. Collaborate with cross-functional teams (Data Scientists, Quality, Manufacturing, IT) to define data requirements and deliver reliable data solutions. Develop and maintain ETL/ELT workflows using modern orchestration and integration tools (e.g., Airflow, Fivetran, or similar). Implement data governance, lineage, and documentation best practices. Support business intelligence tools (e.g., Tableau, Power More ❯

Power BI Data Analyst) Technical Skills Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate More ❯

Power BI Data Analyst) Technical Skills Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate More ❯

experience with cloud-based data plaforms such as AWS/Databricks/IBM/Snowflake . Strong programming skills in Python, Scala, or Java . Experience with data modeling , ETL/ELT processes , and data warehousing . Experience conducting and documenting PoCs with hyperscalers or data platform vendors. Preferred Qualifications: Certifications in AWS, Azure, or Databricks. Experience with Snowflake , IBM More ❯

transforming raw data into actionable intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and More ❯

transforming raw data into actionable intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and More ❯

to detail, a high degree of intellectual curiosity, and the ability to manage multiple priorities. Advanced Excel skills, including pivot tables, formulas, and data modeling. Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep). Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or More ❯

to detail, a high degree of intellectual curiosity, and the ability to manage multiple priorities. Advanced Excel skills, including pivot tables, formulas, and data modeling. Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep). Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or More ❯

to detail, a high degree of intellectual curiosity, and the ability to manage multiple priorities. Advanced Excel skills, including pivot tables, formulas, and data modeling. Hands-on experience with ETL tools (e.g., Alteryx, KNIME, Tableau Prep). Intermediate to advanced proficiency in data visualization platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or More ❯

quality improvement. Contribute to best practice sharing and community-building initiatives within the data engineering space. Required Skills & Experience Cloud Platforms: Strong expertise in AWS/Azure/SAP ETL/ELT Pipelines: Advanced proficiency Data Modelling: Expert level Data Integration & Ingestion: Skilled Databricks, SQL, Synapse, Data Factory and related Azure services Version Control/DevOps tools: GITHUB, Azure DevOps More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines and ETL processes for data ingestion and transformation. Support the development and maintenance of data models and data warehouses used for reporting and analytics. Collaborate with senior engineers, analysts, and product teams More ❯

JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines and ETL processes for data ingestion and transformation. Support the development and maintenance of data models and data warehouses used for reporting and analytics. Collaborate with senior engineers, analysts, and product teams More ❯

JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines and ETL processes for data ingestion and transformation. Support the development and maintenance of data models and data warehouses used for reporting and analytics. Collaborate with senior engineers, analysts, and product teams More ❯

in our people whenever we can. About You You will have considerable technical experience and a passion for developing data solutions. Handling data in any format, data modelling and ETL processes will all come naturally to you. You will have a demonstrable technical skillset as engineering skills are paramount to this role. Knowledge of the Energy industry would be useful More ❯

London- Hybrid- 3 days on-site per week 6 months + UMBRELLA only- Inside IR35 Experienced SSIS Developer to design, develop, and maintain robust ETL processes using SQL Server Integration Services (SSIS) . The ideal candidate will work closely with business analysts … data architects, and stakeholders to ensure reliable data integration, transformation, and delivery across enterprise systems. Key Responsibilities Design, develop, test, and deploy ETL packages using SSIS to extract, transform, and load data from multiple sources into data warehouses, data marts, or operational systems. Optimize and troubleshoot existing SSIS packages for performance, scalability, and reliability. Develop and maintain SQL queries, stored … procedures, functions, and views to support ETL and reporting processes. Implement error handling, logging, and auditing within SSIS packages. Schedule and automate ETL jobs using SQL Server Agent or equivalent job schedulers. Collaborate with data architects and business analysts to understand business requirements and translate them into technical solutions. Perform data validation and quality checks to ensure integrity and accuracy More ❯

next generation of their data platform. What you’ll be doing Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and compliance. Collaborating with data scientists, analysts, and More ❯

next generation of their data platform. What you’ll be doing Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and compliance. Collaborating with data scientists, analysts, and More ❯

next generation of their data platform. What you’ll be doing Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and compliance. Collaborating with data scientists, analysts, and More ❯

a data-driven culture. Key Responsibilities • Work with stakeholders across Finance, Supply Chain, HR, and Operations to identify and scope data science opportunities within oneAdvanced. • Design, develop, and deploy ETL strategy, design and executive to migrate Legacy finance data to Target. • Design, develop, and deploy predictive and prescriptive models (e.g., demand forecasting, anomaly detection, risk scoring, financial optimisation). • Build More ❯

office. What will you be doing? Deploy and manage ML models across dev to production at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python More ❯