76 to 100 of 637 ETL Jobs in the UK excluding London

across multiple databases (Oracle, Redshift, AWS Athena). Strong ability to investigate data inconsistencies, optimize queries, and build efficient data processing workflows. Experience with ETL/ELT processes, integrating external data sources, third-party APIs, and automating data ingestion pipelines. A data-driven mindset, ensuring solutions align with business objectives More ❯

a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETL and data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯

Spend Your Time Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machine learning models and AI systems to maximize More ❯

Spend Your Time Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machine learning models and AI systems to maximize 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 ❯

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 ❯

Strong hands-on experience with AWS Proficient in Python and/or Scala for data pipeline development Solid understanding of data warehousing concepts and ETL best practices Desirable Experience: Exposure to Power BI for data visualisation and dashboarding Experience within the energy trading sector, particularly the power market , is a More ❯

writing and optimizing stored procedures. •Experience integrating Power Platform solutions with Azure services (Functions, Logic Apps, Key Vault, etc.). •Experience designing and orchestrating ETL/ELT pipelines with Azure Data Factory (ADF) is plus. •Familiarity with Agile methodologies and DevOps/CI-CD pipelines. •A natural flair for problem 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 ❯

working to enable data-driven decision-making through scalable engineering practices. Key Responsibilities of the Database Engineer : Design and build scalable data pipelines and ETL processes using Databricks and Delta Live Tables Develop robust solutions on Azure, enhancing the lakehouse architecture with Spark technologies Implement automated CI/CD pipelines 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 ❯

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 ❯

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 ❯

facing delivery role (preferred). Proven experience in designing data architecture and models (Dimensional, ODS, Data Vault). Strong understanding of data warehouse concepts, ETL processes, and cloud-native architectures. Proficient in Agile methodologies (Scrum), with experience using tools like Azure DevOps or JIRA. Familiarity with CI/CD practices More ❯

business-related discipline 2+ years' experience with Power BI, DAX, Power Query 2+ years' experience with Power Automate or Logic Apps Strong data modelling, ETL/ELT, and SQL/database experience Familiarity with the software development lifecycle Excellent Excel and Microsoft Office skills Strong analytical, written, and interpersonal communication More ❯

Systems, or a related field. or a combination of education and relevant experience Query languages e.g. SQL, Java, Hive, R Data Management technologies e.g. ETL tools, data integration platforms Proven experience as a Data Architect, Data Engineer (or a related role, with a strong emphasis on data architecture design and More ❯

business-related discipline 2+ years' experience with Power BI, DAX, Power Query 2+ years' experience with Power Automate or Logic Apps Strong data modelling, ETL/ELT, and SQL/database experience Familiarity with the software development lifecycle Excellent Excel and Microsoft Office skills Strong analytical, written, and interpersonal communication More ❯

areas: Working with raw data, structured, semi-structured and unstructured data. Experience combining large, disconnected datasets, using relevant tools and frameworks. Building and optimizing ETL/ELT data pipelines Experience of source control, Continuous Integration, Delivery and Deployment through CICD Pipelines Knowledge and/or experience with Splunk, Kafka & Grafana More ❯

from multiple organisational SQL databases and SaaS applications using end-to-end dependency-based data pipelines, to establish an enterprise source of truth. Create ETL and ELT processes using Azure Databricks, ensuring audit-ready financial data pipelines and secure data exchange with Databricks Delta Sharing and SQL Warehouse endpoints. Governance … Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark, Spark SQL. Good working More ❯

Your Responsibilities: Build data infrastructure: Design, develop, and maintain scalable and reliable data pipelines, warehouses, and lakes. Develop ETL/ELT workflows: Extract, transform, and load data from various systems to enable unified, high-quality datasets. Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data … Engineer). Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB). Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data orchestration tools like Dagster or similar. Understanding of data modelling, warehousing, and architecture best More ❯