101 to 125 of 540 ETL Jobs in England

in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly impact their products Small, high More ❯

in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly impact their products Small, high More ❯

in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly impact their products Small, high More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

and presentation skills. Preferred Skills Knowledge of FP&A, supply chain, workforce, or sales planning processes. Experience with data visualization tools (Power BI, Tableau, or similar). Familiarity with ETL tools, APIs, or middleware for system integrations. Anaplan Solution Architect certification (a plus for senior roles). More ❯

Lambda). Proficient in Python, 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-solving skills. What's on More ❯

in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP). Expertise in Snowflake development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3, Data Lake, ADF, Redshift, Synapse, etc. Familiarity with CI/CD pipelines, test automation, and DevOps practices in More ❯

in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP). Expertise in Snowflake development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3, Data Lake, ADF, Redshift, Synapse, etc. Familiarity with CI/CD pipelines, test automation, and DevOps practices in More ❯

ASAP. Key Requirements: Proven expertise in Data Architecture working on large, complex Data Programmes Strong Data Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven More ❯

DevOps team to deliver data solutions and maintain live systems. Apply best practices for data integration, transformation, and delivery in a secure and scalable environment. Support data pipelines and ETL processes across various technologies and cloud platforms Maintain, monitor, and troubleshoot systems using a wide array of tools and platforms. Contribute to automation and continuous integration/deployment (CI/ More ❯

DevOps team to deliver data solutions and maintain live systems. Apply best practices for data integration, transformation, and delivery in a secure and scalable environment. Support data pipelines and ETL processes across various technologies and cloud platforms Maintain, monitor, and troubleshoot systems using a wide array of tools and platforms. Contribute to automation and continuous integration/deployment (CI/ More ❯

ASAP. Key Requirements: Proven expertise in Data Architecture working on large, complex Data Programmes Strong Data Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven More ❯

Key Requirements: Proven expertise in Data Solution Architecture working on large, complex Data Programmes Strong Data Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven More ❯

/R) and Spotfire APIs. Working knowledge of Power BI report development and differences between Spotfire and Power BI capabilities. Proficient in SQL, data integration (flat files, APIs, databases), ETL logic interpretation. Understanding of functional and visual parity considerations between BI tools. Strong analytical, debugging, communication skills to interface with stakeholders and migration engineers. The Role Act as the technical More ❯

with Azure DevOps or similar CI/CD platforms Understanding of security best practices and OWASP guidelines Experience with Python or other scripting languages Knowledge of data warehousing and ETL processes Previous experience in fintech or content creation platforms Benefits Hybrid role - 1-2 days in office and the rest from home Free on-site parking Lunch included on office More ❯

Microsoft Azure Data Services (Fabric desirable). Knowledge of Data Lake, Power BI, SQL. Business Entity Mastering, Data Taxonomy and Data Dictionary. Knowledge of CI/CD Familiarity with ETL processes and best practices. Key Competencies Motivated to learn and grow in a dynamic environment. Strong organisational and technical skills with excellent attention to detail. Resilient, solution-focused, and able More ❯

Microsoft Azure Data Services (Fabric desirable). Knowledge of Data Lake, Power BI, SQL. Business Entity Mastering, Data Taxonomy and Data Dictionary. Knowledge of CI/CD Familiarity with ETL processes and best practices. Key Competencies Motivated to learn and grow in a dynamic environment. Strong organisational and technical skills with excellent attention to detail. Resilient, solution-focused, and able More ❯

colleagues and stakeholders to ensure high-quality, maintainable, and scalable data solutions. Key Responsibilities Design and develop data processing software for deployment in Big Data technologies Build and maintain ETL/ELT pipelines using modern data platforms Collaborate with team members to resolve implementation challenges and ensure code quality Work with operations teams to ensure solutions are production-ready Contribute 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 ❯