1 to 25 of 579 ETL Jobs in the UK

sector is responsible for designing, developing, and maintaining robust ETL (Extract, Transform, Load) solutions using Informatica tools. YOUR PROFILE Assist in designing and developing ETL processes to extract, transform, and load data from various sources into data warehouses or data marts. Very good in Informatica development, setup and IDMC cloud migration Strong in writing SQL, joining between tables and compare … the table data Collaborate with team members to understand data requirements and translate them into technical specifications. Support the maintenance and enhancement of existing ETL processes to ensure data accuracy and reliability. Conduct data quality checks and troubleshoot issues related to ETL processes. Participate in code reviews and provide feedback to improve ETL processes and performance. Document ETL processes and … clear and comprehensive records. Learn and apply best practices in ETL development and data integration. Knowledge of scripting languages (Python, Shell scripting) is advantageous. Very good knowledge in Datawarehouse and ETL concepts ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact More ❯

sector is responsible for designing, developing, and maintaining robust ETL (Extract, Transform, Load) solutions using Informatica tools. YOUR PROFILE Assist in designing and developing ETL processes to extract, transform, and load data from various sources into data warehouses or data marts. Very good in Informatica development, setup and IDMC cloud migration Strong in writing SQL, joining between tables and compare … the table data Collaborate with team members to understand data requirements and translate them into technical specifications. Support the maintenance and enhancement of existing ETL processes to ensure data accuracy and reliability. Conduct data quality checks and troubleshoot issues related to ETL processes. Participate in code reviews and provide feedback to improve ETL processes and performance. Document ETL processes and … clear and comprehensive records. Learn and apply best practices in ETL development and data integration. Knowledge of scripting languages (Python, Shell scripting) is advantageous. Very good knowledge in Datawarehouse and ETL concepts ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact More ❯

sector is responsible for designing, developing, and maintaining robust ETL (Extract, Transform, Load) solutions using Informatica tools. YOUR PROFILE Assist in designing and developing ETL processes to extract, transform, and load data from various sources into data warehouses or data marts. Very good in Informatica development, setup and IDMC cloud migration Strong in writing SQL, joining between tables and compare … the table data Collaborate with team members to understand data requirements and translate them into technical specifications. Support the maintenance and enhancement of existing ETL processes to ensure data accuracy and reliability. Conduct data quality checks and troubleshoot issues related to ETL processes. Participate in code reviews and provide feedback to improve ETL processes and performance. Document ETL processes and … clear and comprehensive records. Learn and apply best practices in ETL development and data integration. Knowledge of scripting languages (Python, Shell scripting) is advantageous. Very good knowledge in Datawarehouse and ETL concepts ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact More ❯

Exp: 10 + yrs Job Summary The Senior Test Specialist/Architect in Cloud Automation Testing focuses on automating testing processes in ETL (Extract, Transform, Load) and Data Warehousing environments to ensure the quality and reliability of data pipelines. The role involves designing, developing, and implementing automation scripts for testing data transformations, data loading processes, and data quality verification. Key … Responsibilities 1. Develop and execute automated test scripts for etl processes and data pipelines. 2. Collaborate with cross functional teams to design and implement automated testing frameworks. 3. Create test plans and test cases for etl and data warehouse testing. 4. Identify and troubleshoot issues in data transformations and data loading processes. 5. Conduct performance testing and ensure scalability of … data pipelines. 6. Implement best practices for data quality assurance in etl environments. Skill Requirements 1. Proficiency in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as More ❯

Exp: 10 + yrs Job Summary The Senior Test Specialist/Architect in Cloud Automation Testing focuses on automating testing processes in ETL (Extract, Transform, Load) and Data Warehousing environments to ensure the quality and reliability of data pipelines. The role involves designing, developing, and implementing automation scripts for testing data transformations, data loading processes, and data quality verification. Key … Responsibilities 1. Develop and execute automated test scripts for etl processes and data pipelines. 2. Collaborate with cross functional teams to design and implement automated testing frameworks. 3. Create test plans and test cases for etl and data warehouse testing. 4. Identify and troubleshoot issues in data transformations and data loading processes. 5. Conduct performance testing and ensure scalability of … data pipelines. 6. Implement best practices for data quality assurance in etl environments. Skill Requirements 1. Proficiency in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as More ❯

Exp: 10 + yrs Job Summary The Senior Test Specialist/Architect in Cloud Automation Testing focuses on automating testing processes in ETL (Extract, Transform, Load) and Data Warehousing environments to ensure the quality and reliability of data pipelines. The role involves designing, developing, and implementing automation scripts for testing data transformations, data loading processes, and data quality verification. Key … Responsibilities 1. Develop and execute automated test scripts for etl processes and data pipelines. 2. Collaborate with cross functional teams to design and implement automated testing frameworks. 3. Create test plans and test cases for etl and data warehouse testing. 4. Identify and troubleshoot issues in data transformations and data loading processes. 5. Conduct performance testing and ensure scalability of … data pipelines. 6. Implement best practices for data quality assurance in etl environments. Skill Requirements 1. Proficiency in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as More ❯

Exp: 10 + yrs Job Summary The Senior Test Specialist/Architect in Cloud Automation Testing focuses on automating testing processes in ETL (Extract, Transform, Load) and Data Warehousing environments to ensure the quality and reliability of data pipelines. The role involves designing, developing, and implementing automation scripts for testing data transformations, data loading processes, and data quality verification. Key … Responsibilities 1. Develop and execute automated test scripts for etl processes and data pipelines. 2. Collaborate with cross functional teams to design and implement automated testing frameworks. 3. Create test plans and test cases for etl and data warehouse testing. 4. Identify and troubleshoot issues in data transformations and data loading processes. 5. Conduct performance testing and ensure scalability of … data pipelines. 6. Implement best practices for data quality assurance in etl environments. Skill Requirements 1. Proficiency in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as More ❯

Exp: 10 + yrs Job Summary The Senior Test Specialist/Architect in Cloud Automation Testing focuses on automating testing processes in ETL (Extract, Transform, Load) and Data Warehousing environments to ensure the quality and reliability of data pipelines. The role involves designing, developing, and implementing automation scripts for testing data transformations, data loading processes, and data quality verification. Key … Responsibilities 1. Develop and execute automated test scripts for etl processes and data pipelines. 2. Collaborate with cross functional teams to design and implement automated testing frameworks. 3. Create test plans and test cases for etl and data warehouse testing. 4. Identify and troubleshoot issues in data transformations and data loading processes. 5. Conduct performance testing and ensure scalability of … data pipelines. 6. Implement best practices for data quality assurance in etl environments. Skill Requirements 1. Proficiency in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as More ❯

target state from current DWH estate towards data products/marketplace model on AWS/Snowflake. Review AWS Infrastructure components design & usage and implement enhancements. Design and implement an ETL (Extract, Transform, Load) engine using AWS EMR (Elastic MapReduce) for efficient data processing. Design, review, and implement reporting solutions integrating Tableau with AWS services for seamless data visualization. Design and … tools, and practices. Troubleshoot and resolve infrastructure-related issues, providing technical support and guidance. Your Profile Essential Skills/Knowledge/Experience: Extensive AWS service knowledge Lambda Avaloq experience ETL (Extract, Transform, Load) Integrating Tableau with AWS services Amazon EKS (Elastic Kubernetes Service) Infrastructure as Code, scripting (Python/Bash), Helm charts, Docker, Kubernetes Tools like Terraform, Ansible, and Jenkins More ❯

AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/ More ❯

team. About you Skills and experience • Strong experience in data engineering with the Azure data stack (Fabric, Data Factory, Synapse). • Proficiency in SQL and Python for data transformation, ETL/ELT and automation. • Solid understanding of CI/CD, Git, and DevOps practices for data workflows. • Experience designing and implementing layered data models. • Ability to work independently as the 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 ❯

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 ❯

be someone who can take end-to-end ownership of data engineering initiatives and deliver solutions aligned with enterprise data architecture as well as governance principles. Responsibilities Build complex ETL/ELT pipelines from scratch, integrating multiple data sources while implementing advanced transformations using mapping data flows Optimise performance and manage dependencies, ensuring robust monitoring/debugging of pipelines Architect More ❯

work as part of a collaborative team to solve problems and assist other colleagues. - Ability to learn new technologies, programs and procedures. Technical Essentials: - Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation More ❯

We are seeking a Data Engineer with strong experience in SQL, data modelling, and ETL development, ideally complemented by exposure to cloud data platforms and business intelligence tools. The ideal candidate will have hands-on experience designing and maintaining data pipelines, ensuring data integrity, and supporting analytical initiatives across the business. This role is perfect for someone with a few … their technical expertise in data engineering while contributing to impactful projects within a collaborative IT environment. About You Key Responsibilities: Design, develop, and maintain ETL pipelines to extract, transform, and load data from multiple systems into centralised data repositories. Build and optimise SQL queries, stored procedures, and views to support reporting and analytics. Collaborate with software engineers, analysts, and business … to ensure scalable and secure data operations. Preferred Skills Strong proficiency in SQL (T-SQL or PL/SQL) – query optimisation, joins, indexing, stored procedures, and triggers. Experience with ETL tools such as SSIS, Azure Data Factory, or similar. Familiarity with relational databases (e.g., MS SQL Server, MySQL, PostgreSQL). Exposure to data warehousing concepts and dimensional modelling (e.g., star More ❯

and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of financial services Power BI experience More ❯

and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of financial services Power BI experience More ❯

and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of financial services Power BI experience More ❯

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯