51 to 75 of 540 ETL Jobs in England

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. - At least 5 years in data engineering or business intelligence roles. - Proficiency in ETL and data pipeline design, with a technology-agnostic approach. - A solid understanding of data warehouse and data lake principles. - Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

focus on Snowflake and Power BI. Strong expertise in data modelling, query optimisation, and Power BI development (DAX, dashboards). Hands-on with dbt, SQL, Python, and ELT/ETL pipeline development. Experience with Azure Data Factory (ADF), and migrating legacy data platforms to cloud solutions. Financial services exposure, ideally with market or credit risk analytics. Ability to produce technical More ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python 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 ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python 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 ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python 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 ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python 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 ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python 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 ❯

all areas of the business. Over time, this role will evolve to include in-depth customer analytics and segmentation to drive enhanced business performance. Responsibilities: Design, build, and maintain ETL pipelines, ensuring data is structured and accessible to support all areas of the business. Integrate datasets from various sources to provide a unified customer and activity-level view. Collaborate with More ❯

all areas of the business. Over time, this role will evolve to include in-depth customer analytics and segmentation to drive enhanced business performance. Responsibilities: Design, build, and maintain ETL pipelines, ensuring data is structured and accessible to support all areas of the business. Integrate datasets from various sources to provide a unified customer and activity-level view. Collaborate with More ❯

are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python 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 ❯

all areas of the business. Over time, this role will evolve to include in-depth customer analytics and segmentation to drive enhanced business performance. Responsibilities: Design, build, and maintain ETL pipelines, ensuring data is structured and accessible to support all areas of the business. Integrate datasets from various sources to provide a unified customer and activity-level view. Collaborate with More ❯

with BI teams to enable dashboards and data-driven insights aligned with business goals. Skills & Experience Required Technical & Analytical Skills Strong understanding of HR data structures, relational databases, and ETL processes. Experience with major HRIS platforms such as Workday, SAP SuccessFactors, or Oracle HCM . Proficiency in Excel, SQL , and data visualisation/reporting tools such as Power BI . More ❯

Power BI or Microsoft BI stack. Understanding of MDX cubes for OLAP and multidimensional analysis. Experience of pulling data from Snowflake and SQL Server and MDX Cubes. Knowledge of ETL processes and data warehousing concepts. Personal Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills High More ❯

technology domains including CMS, CRM, Martech platforms, data pipelines, analytics, and cloud services. Exposure to CDPs (e.g., Bloomreach, Segment, BlueConic, Tealium) and data integration pipelines. Understanding of data modelling, ETL processes, and basic analytics or BI tools like Power BI or Tableau. Experience in the sports, entertainment, or fan engagement domain is a strong plus. What can we offer you More ❯

Technical Requirements of the Successful Candidate: Proven experience delivering data solutions using Microsoft Fabric, including OneLake, Dataflows, Notebooks, and Power BI.? Strong understanding of data architecture, data modeling, and ETL/ELT processes.? Experience with Azure Data Services (e.g., Synapse, Data Factory, Databricks) is a plus.? Demonstrates an understanding of enterprise BI and Data Warehousing tools, concepts and methods? Experience More ❯

Data Engineer (Talend/Snowflake)Goole – Hybrid (1-2 days in the office)PermanentCompetitive salary Elevation IT are looking for a skilled Data Engineer with proven expertise in ETL, data warehousing, and modern cloud platforms. In this role, you’ll design and optimise data pipelines that power decision-making across the business. You’ll work hands-on with Talend, Snowflake … SQL, and Python to build scalable solutions, ensure data quality and enable seamless integration across systems. Duties & Responsibilities: Extract, transform, and load (ETL) data from diverse sources, including ERP and cloud-based systems Automate processes using scripting and integration tool Ensure data quality, integrity, and consistency throughout projects Collaborate with business users, IT teams, and project stakeholders to understand data … structures and requirements Provide technical leadership and mentoring to fellow data engineers Troubleshoot data issues and optimize pipeline performance Document ETL processes and develop best practices for scalability and reuse Key Skills & Experience Proven experience in data engineering projects and data warehousing Strong expertise with Talend and Snowflake Solid knowledge of ETL tools and data transformation techniques (JSON, XML) Proficiency More ❯

scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. 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 ❯

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 ❯

Databricks and native Azure services Requirements: 10+ years in cloud data engineering, with a strong focus on building scalable data pipelines Expertise in Azure Databricks, including building and managing ETL pipelines using PySpark or Scala Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure Data Lake Storage, Azure Data Factory, and Azure More ❯

skills in designing and deploying data-driven solutions based on SAS Viya, and SAS Data Integration software. - Management of dependencies utilising Platform LSF and Jira - Strong skills in using ETL tools such as Pentaho and Talend - Experience with SAS for data analysis purposes, and previous data visualisation experience would be desirable - Skills in DevOps would be beneficial, particularly related to More ❯

. Advanced expertise in Power BI (DAX, data modeling, custom visuals, row-level security). Advanced knowledge of Excel (Power Query, PivotTables, VBA/macros preferred). Experience with ETL processes, data integration, and cleansing. Strong analytical and problem-solving skills with attention to detail. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Excellent communication More ❯