126 to 150 of 1,271 ETL Jobs in the UK

BI tools (e.g., Power BI, Tableau, Looker). Strong analytical and problem-solving skills, with a focus on cloud-based data solutions. Knowledge of ETL processes and cloud data integration (e.g., AWS Glue, Azure Data Factory). Excellent communication and teamwork abilities, especially in remote and distributed teams. More ❯

and complex data modelling using Fabric/Azure. Expertise in app/DWH development and support with Microsoft Azure/Power BI. Experience with ETL and SSIS development. Advanced skills in Power BI report/app/dashboard design using DAX and Power Query. Benefits The role is based in More ❯

Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data pipelines. Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) Strong trade lifecycle experience If you are More ❯

What You'll Do: Design and build scalable data solutions using AWS services (Redshift, Glue, S3, Step Functions). Lead the development of robust ETL/ELT workflows with AWS Glue and Python. Manage and mentor Data Engineers and Analysts across multiple projects. Collaborate with DevOps to maintain CI/ More ❯

Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data pipelines. Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) Strong trade lifecycle experience If you are More ❯

What You'll Do: Design and build scalable data solutions using AWS services (Redshift, Glue, S3, Step Functions). Lead the development of robust ETL/ELT workflows with AWS Glue and Python. Manage and mentor Data Engineers and Analysts across multiple projects. Collaborate with DevOps to maintain CI/ More ❯

practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯

Spark, SQL, and Python. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Understanding of modern data architectures (e.g., Lakehouse, ELT/ETL pipelines). Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. More ❯

Spark, SQL, and Python. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Understanding of modern data architectures (e.g., Lakehouse, ELT/ETL pipelines). Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. More ❯

Experience: 5+ years in data roles. Technical Skills: Development experience with Microsoft (Azure) technologies, including Azure Data Factory, Synapse, and Power BI, or relevant ETL tools. Expertise in Microsoft Fabric or Databricks. Experience with technology partners or consulting organizations is highly desirable. Leadership experience in technical teams (engineers, analysts, architects 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 ❯

especially cloud migration initiatives. Hands-on experience with Python, PySpark, SQL, and Scala. Deep knowledge of modern data architecture, data modeling, and ELT/ETL practices. Strong grasp of data security, governance, and compliance in the cloud. If you are interested in this opportunity, please apply now with your updated More ❯

SecurityUse tools such as Tabular Editor and DAX Studio for optimisation and deploymentCollaborate with DevOps to implement CI/CD pipelines in Azure DevOpsSupport ETL/ELT processes using Azure Data Factory, Synapse, and related servicesStay current with emerging technologies, including Microsoft Fabric, to shape future data strategiesDeliver insights to More ❯

making. Troubleshoot data issues and implement efficient data governance practices. Skills & Experience Proven experience in Power BI . Strong SQL skills and experience building ETL/ELT pipelines . Familiarity with Microsoft Dynamics NAV/Business Central . Ability to work independently and collaboratively on-site with cross-functional teams. More ❯

SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building regulatory reporting systems —financial services background highly desirable. Familiarity with Agile Scrum delivery and More ❯

such as Microsoft Fabric, Microsoft Synapse, Spark, and Kafka. Familiarity with database management systems including SQL Server and PostgreSQL. Knowledge of data integration and ETL tools (e.g., Talend, Informatica, Apache NiFi2). Strong problem-solving and analytical skills with the ability to manage and interpret large datasets. Previous experience working More ❯

SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building regulatory reporting systems —financial services background highly desirable. Familiarity with Agile Scrum delivery and More ❯

the latest advancements in analytics for innovative solutions. Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize More ❯

latest advancements in AI for innovative solutions. Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Oversee customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize More ❯

the latest advancements in analytics for innovative solutions. Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize More ❯

making. Troubleshoot data issues and implement efficient data governance practices. Skills & Experience Proven experience in Power BI . Strong SQL skills and experience building ETL/ELT pipelines . Familiarity with Microsoft Dynamics NAV/Business Central . Ability to work independently and collaboratively on-site with cross-functional teams. More ❯

latest advancements in AI for innovative solutions. Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Oversee customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize More ❯

BI tools (e.g., Power BI, Tableau, Looker). *Strong analytical and problem-solving skills, with a focus on cloud-based data solutions. *Knowledge of ETL processes and cloud data integration (e.g., AWS Glue, Azure Data Factory). *Excellent communication and teamwork abilities, especially in remote and distributed teams. This is More ❯

business requirements. Experience with Big Data technologies, Data Lakes, Data Warehouses, Lakehouses. Proficiency in Databricks and Python, including concurrency and error handling. Experience with ETL tools and data visualization tools. Preferred qualifications, capabilities, and skills Experience with AWS services like Lambdas and Terraform. Knowledge of Java and front-end development. More ❯

pipeline issues Desirable skills: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such More ❯