1 to 25 of 64 ETL Jobs in the West Midlands

Responsibilities: Design, build, and maintain Azure data pipelines using Azure Data Factory, Synapse, or Fabric. Implement a data lakehouse architecture (Bronze/Silver/Gold) and establish best-practise ETL/ELT frameworks. Ingest and integrate data from multiple core systems, including ERP, finance, supply chain, and CRM platforms. Develop and optimise SQL data models and support the creation of More ❯

Responsibilities: Design, build, and maintain Azure data pipelines using Azure Data Factory, Synapse, or Fabric. Implement a data lakehouse architecture (Bronze/Silver/Gold) and establish best-practise ETL/ELT frameworks. Ingest and integrate data from multiple core systems, including ERP, finance, supply chain, and CRM platforms. Develop and optimise SQL data models and support the creation of More ❯

in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL (and Python would be a bonus) Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

team, you’ll collaborate with analysts, data scientists, and key stakeholders to deliver practical, scalable solutions that make a real impact. Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and AWS services (S3, Redshift, Glue, Lambda, Athena). Integrate new data sources and continuously optimise performance and cost efficiency. Ensure data More ❯

self-service analytics and data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools More ❯

self-service analytics and data literacy. Who We’re Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools More ❯

self-service analytics and data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools More ❯

cross-functional teams to deliver robust BI solutions using Microsoft technologies. Technical Expertise : Extensive experience with Microsoft SQL Server, and related database technologies for data extraction, transformation, and loading (ETL). Solution Development : Skilled in designing, developing, and implementing business intelligence solutions, including dashboards and reports using Power BI and SSRS. Data Integration : Proficiency in integrating data from multiple sources More ❯

cross-functional teams to deliver robust BI solutions using Microsoft technologies. Technical Expertise : Extensive experience with Microsoft SQL Server, and related database technologies for data extraction, transformation, and loading (ETL). Solution Development : Skilled in designing, developing, and implementing business intelligence solutions, including dashboards and reports using Power BI and SSRS. Data Integration : Proficiency in integrating data from multiple sources 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 ❯

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 ❯

scale What We’re Looking For Strong hands-on experience with Azure Databricks, Data Factory, Blob Storage, and Delta Lake Proficiency in Python, PySpark, and SQL Deep understanding of ETL/ELT, CDC, streaming data, and lakehouse architecture Proven ability to optimise data systems for performance, scalability, and cost-efficiency A proactive problem-solver with great communication skills and a More ❯

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. GIT. 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 ❯

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. GIT. 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 ❯

efficient, scalable, and secure data solutions that enable advanced analytics and business intelligence capabilities. Key Responsibilities: Design, build, and maintain data pipelines using Azure Data Factory (ADF) . Develop ETL/ELT processes to integrate and transform large datasets across cloud and on-prem environments. Implement and optimise data solutions in Azure Synapse, Data Lake, Databricks , and Snowflake . Write More ❯

efficient, scalable, and secure data solutions that enable advanced analytics and business intelligence capabilities. Key Responsibilities: Design, build, and maintain data pipelines using Azure Data Factory (ADF) . Develop ETL/ELT processes to integrate and transform large datasets across cloud and on-prem environments. Implement and optimise data solutions in Azure Synapse, Data Lake, Databricks , and Snowflake . Write More ❯

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. GIT. 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 ❯

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. GIT. 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 ❯

experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance, security, and data lineage. Proven ability to apply data engineering best practices (e.g., CI/CD, testing, metadata management) to deliver More ❯

experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance, security, and data lineage. Proven ability to apply data engineering best practices (e.g., CI/CD, testing, metadata management) to deliver More ❯

and Performant SQL. Experience analysing complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

workflows, and security roles. Power Platform Integration: Power Apps (Model-Driven), Power Automate, and Dataverse. API & Integration Skills: REST APIs, Azure Logic Apps, and custom connectors. Data Management & Migration: ETL processes, data import/export, and synchronisation. Security & Access Control: Azure AD authentication, role-based access, and environment-level security. Experience with Power BI Integration, Microsoft 365 Touchpoints, Azure Services More ❯

broad technical skills and ability to work with large amounts of data. You will collaborate with the Game and Product[1] teams to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our games. You will have experience developing and establishing scalable, efficient, automated processes for large-scale data analyses. You will also … and design solutions to support product analytics, business analytics and advance data science ● Design efficient and scalable data pipelines using cloud-native and open source technologies ● Develop and improve ETL/ELT processes to ingest data from diverse sources. ● You will work with analysts, understand requirements, develop technical specifications for ETLs, including documentation. ● You will support production code to produce … junior engineers, and contribute to team knowledge sharing. ● Document data processes, architecture, and workflows for transparency and maintainability. ● You will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field More ❯

broad technical skills and ability to work with large amounts of data. You will collaborate with the Game and Product[1] teams to implement data strategies and develop complex ETL pipelines that support dashboards for promoting deeper understanding of our games. You will have experience developing and establishing scalable, efficient, automated processes for large-scale data analyses. You will also … and design solutions to support product analytics, business analytics and advance data science ● Design efficient and scalable data pipelines using cloud-native and open source technologies ● Develop and improve ETL/ELT processes to ingest data from diverse sources. ● You will work with analysts, understand requirements, develop technical specifications for ETLs, including documentation. ● You will support production code to produce … junior engineers, and contribute to team knowledge sharing. ● Document data processes, architecture, and workflows for transparency and maintainability. ● You will work with big data solutions, data modelling, understand the ETL pipelines and dashboard tools Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field More ❯

stages of the delivery lifecycle, with an interest in learning and cross-skilling. Essential skills and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud More ❯