101 to 125 of 502 ETL Jobs in the UK

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 ❯

business decisions. You’ll work closely with Finance, Marketing, Digital, and Commercial teams to turn data into insights, automate reporting, and improve data infrastructure. Key Responsibilities Develop and maintain ETL processes using SSIS Build interactive dashboards and reports in Power BI Integrate data from various sources into clear insights Support the development of the data warehouse and reporting environment Promote More ❯

business decisions. You’ll work closely with Finance, Marketing, Digital, and Commercial teams to turn data into insights, automate reporting, and improve data infrastructure. Key Responsibilities Develop and maintain ETL processes using SSIS Build interactive dashboards and reports in Power BI Integrate data from various sources into clear insights Support the development of the data warehouse and reporting environment Promote More ❯

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and 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 ❯

Role As a Data Engineer, you'll play a pivotal role in shaping the data infrastructure. Your responsibilities will include: Building and Maintaining Data Pipelines: Design and implement scalable ETL processes to integrate data into our mobile and web applications, as well as internal dashboards. Data Architecture Design: Develop and optimise data storage, retrieval, and processing systems to ensure efficiency More ❯

collaboratively across the business you’ll ensure their data is high-quality, accessible, and compliant with governance and cybersecurity standards.Key Responsibilities • Design, build, and maintain efficient data pipelines and ETL workflows.• Develop and optimise relational and non-relational database systems.• Collaborate with analysts, researchers, and IT teams to deliver tailored data solutions.• Implement and maintain data governance and metadata frameworks. More ❯

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 More ❯

of algorithmic thinking and performance optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - or call More ❯

of algorithmic thinking and performance optimisation. Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra. Experience with systems like Kafka or RabbitMQ. Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - (url removed More ❯

in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd line) Collaborate with business partners, data scientists, and report 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 ❯

ll Be Doing: Leading cross-functional teams of architects, engineers, and analysts to design and deliver scalable, modern data solutions Architecting robust cloud-native data platforms using modern RDBMS, ETL/ELT, and streaming tech Engaging stakeholders and owning the technical vision across full project lifecycles Shaping product-led data strategies using Data Mesh, Data Fabric, and event-driven patterns 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 and 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. 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 ❯

Infor Syteline). Solid understanding of ERP (Enterprise Resource Planning) concepts and functionalities. Strong understanding of business processes in finance, supply chain, or manufacturing domains. Experience with data migration, ETL processes, and API integrations. Experience with SQL, scripting languages, and data integration tools. Excellent analytical and problem-solving skills, with an eye for detail. Exceptional communication and interpersonal abilities, capable More ❯

best practices. * Proficiency in SAP Data Services, SAP HANA, SAP BW, and SAP Analytics cloud. * Experience in SAP cloud platform. * Expertise in SAC architecture for data integration. * Skilled in ETL processes, data modelling, and data validation. * Any 1 Programming knowledge: [Python/SQL/Java]. * Hands on and 'can do' attitude * Excellent leadership, communication, and stakeholder management skills. * Good More ❯

SAP Data Services, SAP HANA, SAP BW, Datasphere and SAP Analytics cloud. * Experience in SAP cloud platform. * Expertise in DSP frameworks and SAC architecture for data integration. * Skilled in ETL processes, data modeling, and data validation. * Any 1 Programming knowledge: [Python/SQL/Java]. * Hands on and 'can do' attitude * Excellent leadership, communication, and stakeholder management skills. * Good More ❯

members through technical guidance. Collaborate with stakeholders to deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test More ❯

and communication skills Knowledge of BI tools and data governance frameworks Experience of business case development and options appraisal analysis Familiarity with Data & BI concepts such as Data Warehousing, ETL processes, and dashboard/reporting tools (ideally Power BI and Microsoft SQL/Azure A solid understanding of project governance and lifecycle documentation Ideally, you will be a collaborative team More ❯

input templates with validations Building and maintaining data pipelines (utilising data pipelines or dataflow Gen 2) from the Fabric Lakehouse files into the PowerBI semantic model. i.e. support the Extract, Transform, Load data side. Create Power BI reports in a timely manner for stakeholders Clearly document process' and procedures utilised The candidate ideally must have: Experience in the full data More ❯

input templates with validations Building and maintaining data pipelines (utilising data pipelines or dataflow Gen 2) from the Fabric Lakehouse files into the PowerBI semantic model. i.e. support the Extract, Transform, Load data side. Create Power BI reports in a timely manner for stakeholders Clearly document process' and procedures utilised The candidate ideally must have: Experience in the full data More ❯

. Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best practices. Excellent leadership, communication, and stakeholder engagement skills. What's on Offer: Greenfield project: the chance More ❯

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and 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 ❯

setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science More ❯

architects, developers, and stakeholders Facilitate workshops and support data governance initiatives Contribute to enterprise data strategy decisions Requirements: Strong SQL, relational database design, and data modelling skills Experience with ETL, data warehousing, and platforms like SQL Server, Oracle, Snowflake Familiarity with ServiceNow and cloud architecture Deep understanding of enterprise systems and data flows Experience with API integrations and system interfaces More ❯