1 to 25 of 60 ETL Jobs in the City of London

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 ❯

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 ❯

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 ❯

DevOps, and GitHub. Data Modelling Apply hands-on expertise in enterprise data modelling using tools such as ERwin, ER/Studio, or PowerDesigner to ensure performance, scalability, and maintainability. ETL/ELT Frameworks Design robust data pipelines using tools like Cloud Composer, Dataflow, Dataproc, Informatica, or IBM DataStage, supporting both batch and streaming ingestion. Data Governance & Quality Implement governance frameworks More ❯

suited to someone who's confident communicating with data, product, and engineering teams, not a 'heads-down coder' type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing 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 ❯

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 ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

Build sophisticated reporting solutions and drive the adoption of generative AI to enable intuitive self-service analytics. Enhance data engineering processes through automation, CI/CD pipelines and optimized ETL/ELT workflows. Experiment with new tools, technologies and approaches to support the organisation’s analytics and insights strategy. Provide ongoing support for data products, including incident management and defining More ❯

solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc, Informatica, etc.) Implement governance & quality frameworks (Unity Catalog, Profisee, Alation, DQ Pro) Engage clients at C-suite level to shape roadmaps & business cases Mentor More ❯

or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast-paced environment Direct impact on data strategy Quick 2-stage process + excellent More ❯

or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast-paced environment Direct impact on data strategy Quick 2-stage process + excellent More ❯

in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly impact their products Small, high More ❯

in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It Work on meaningful data challenges that directly impact their products Small, high More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

10+ years in BI/Data Warehousing, including 4+ years in solution/technical architecture Strong hands-on expertise in Databricks and cloud platforms (Azure, AWS, GCP) Experience with ETL/ELT tooling (Databricks, ADF, Informatica, SSIS, IBM DataStage) Proficiency in enterprise data modelling (ERwin, ER/Studio, Power Designer) Skilled with BI/reporting tools (Power BI, Tableau, QlikView More ❯

DevOps team to deliver data solutions and maintain live systems. Apply best practices for data integration, transformation, and delivery in a secure and scalable environment. Support data pipelines and ETL processes across various technologies and cloud platforms Maintain, monitor, and troubleshoot systems using a wide array of tools and platforms. Contribute to automation and continuous integration/deployment (CI/ More ❯

Microsoft Azure Data Services (Fabric desirable). Knowledge of Data Lake, Power BI, SQL. Business Entity Mastering, Data Taxonomy and Data Dictionary. Knowledge of CI/CD Familiarity with ETL processes and best practices. Key Competencies Motivated to learn and grow in a dynamic environment. Strong organisational and technical skills with excellent attention to detail. Resilient, solution-focused, and able More ❯

or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for ETL/ELT workflows and data transformations. Cloud & Automation: Familiarity with CI/CD pipelines and automated testing for data workflows. Governance & Security: Understanding of data governance frameworks and security best More ❯

or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for ETL/ELT workflows and data transformations. Cloud & Automation: Familiarity with CI/CD pipelines and automated testing for data workflows. Governance & Security: Understanding of data governance frameworks and security best More ❯

seeking an Azure Data Engineer to help build and optimise data infrastructure on Microsoft Azure to support analytics, reporting, and secure data operations. Core Functions: * Develop scalable ELT/ETL pipelines using Azure tools (Data Factory, Synapse, Data Fabric) * Integrate data across systems (HR, CRM, legal, finance) * Enforce GDPR-compliant governance and security * Optimize performance and cost of data workflows More ❯

field or relevant industry industry experience Have knowledge of programming and data manipulation skills such as SQL and Python, and version control (Github) is essential Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems is a plus Demonstrated ability to thrive with minimal oversight and process. You connect the dots across business needs and More ❯