276 to 300 of 440 ETL Jobs in London

readiness (holdouts, lift, attribution inputs). Must-have experience 3 - 6+ years in analytics/marketing data roles with advanced SQL Proven work with CDP and/or reverse-ETL patterns and Braze. Strong data modelling in a modern warehouse and experience with dbt. Building audiences at scale, including identity resolution and edge-case handling. Rigorous testing/QA mindset More ❯

readiness (holdouts, lift, attribution inputs). Must-have experience 3 - 6+ years in analytics/marketing data roles with advanced SQL Proven work with CDP and/or reverse-ETL patterns and Braze. Strong data modelling in a modern warehouse and experience with dbt. Building audiences at scale, including identity resolution and edge-case handling. Rigorous testing/QA mindset More ❯

readiness (holdouts, lift, attribution inputs). Must-have experience 3 - 6+ years in analytics/marketing data roles with advanced SQL Proven work with CDP and/or reverse-ETL patterns and Braze. Strong data modelling in a modern warehouse and experience with dbt. Building audiences at scale, including identity resolution and edge-case handling. Rigorous testing/QA mindset More ❯

readiness (holdouts, lift, attribution inputs). Must-have experience 3 - 6+ years in analytics/marketing data roles with advanced SQL Proven work with CDP and/or reverse-ETL patterns and Braze. Strong data modelling in a modern warehouse and experience with dbt. Building audiences at scale, including identity resolution and edge-case handling. Rigorous testing/QA mindset More ❯

/X3/other variant) or similar systems. Strong IT Administration background - understanding of networks, permissions, system setups, and troubleshooting. Experience in data migration (Excel, CSV imports, SQL, or ETL tools). Ability to work with stakeholders across IT, Finance, and Operations. Strong analytical and problem-solving skills. Excellent communication and documentation abilities. Company Global real estate organisation Global organisation More ❯

testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus points if you’ve worked with: large-scale data processing, ETL pipelines, cloud deployments, or DevOps/CI-CD practices. Why join? Competitive salary + benefits Ownership and impact in a high-growth cybersecurity scale-up Work with cutting-edge technology More ❯

teams. Uphold engineering and compliance standards, ensuring solutions remain secure and audit-ready. Skills & Competencies Expert-level Salesforce data architecture, Flows, Apex, LWC, and OmniStudio. Strong integration expertise (APIs, ETL, asynchronous/event-driven architecture). Proficiency in Salesforce DevOps (Salesforce DX, CI/CD pipelines, 2GP packaging). Skilled in SOQL/SOSL optimisation and scalable data modelling. Strong More ❯

teams. Uphold engineering and compliance standards, ensuring solutions remain secure and audit-ready. Skills & Competencies Expert-level Salesforce data architecture, Flows, Apex, LWC, and OmniStudio. Strong integration expertise (APIs, ETL, asynchronous/event-driven architecture). Proficiency in Salesforce DevOps (Salesforce DX, CI/CD pipelines, 2GP packaging). Skilled in SOQL/SOSL optimisation and scalable data modelling. Strong More ❯

Implement TMS (Tealium IQ, Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business requirements and translate More ❯

Implement TMS (Tealium IQ, Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business requirements and translate More ❯

which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions. Deliver UK … Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory - 4 years’ experience AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes … Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Permanent, T6/MN/1292110-3. More ❯

which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions. Deliver UK … Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory - 4 years’ experience AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes … Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Permanent, T6/MN/1292110-3. More ❯

for a Senior Data engineer to join an incredibly interesting Insurance Underwriter/MGA. Within this role you will be working closely with the Data analytics team focusing on ETL processes, creating roadmaps for their central data warehouse and working with stakeholders to gather requirements. Technical Skills Languages: Python, SQL Databases: Microsoft SQL Server (Azure SQL Database, SQLite) ETL Tools … lifecycles and architecture Experience working within Agile or Kanban frameworks Familiar with Azure DevOps, Git, and associated development tools Desirable: Azure administration experience PowerShell scripting Knowledge Deep understanding of ETL best practices, common data engineering challenges, and proven remediation approaches. Experience working in an Agile delivery environment. Competence in designing and developing data engineering workflows and solutions. Ability to script More ❯

and maintain robust data pipelines, ensuring data integrity, scalability, and performance across multiple sources. Data Integration: Work with structured and unstructured data from various internal and external systems, applying ETL best practices. Collaboration: Partner with analysts, data scientists, and business teams to understand requirements and deliver high-quality solutions. Performance Optimisation: Monitor and tune Tableau Server performance, ensuring efficient query … compliance with Home Office security protocols. Essential Skills & Experience Proven experience in Tableau development (Desktop and Server) with strong visualisation and storytelling skills. Solid background in data engineering, including ETL processes and data pipeline development. Proficiency in SQL and experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server). Familiarity with cloud platforms (AWS, Azure, or GCP) and data warehousing More ❯

ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines in the Azure cloud environment, with hands-on experience in modern data platforms and ETL frameworks. Key Responsibilities: Design, develop, and maintain data pipelines and data integration solutions using Azure Data Factory, Synapse Analytics, and related services. Build and optimise data models to support reporting … hands-on experience as a Data Engineer working in Azure cloud environments. Strong proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Azure SQL. Solid understanding of data modeling, ETL/ELT design, and data warehousing principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data More ❯

/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the client and cross-functional teams … AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data More ❯

/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the client and cross-functional teams … AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data More ❯

knowledge of its structure and capabilities SQL - knowledge/experience of writing scripts, queries, DML & DDL PL/SQL - coding experience for stand-alone scripts, procedures, packages and triggers ETL/Data Migration - experience of data migration projects and working with large data sets Data load Utilities - SQL*Loader plus use of Database Links Performance Tuning - code analysis and execution More ❯

knowledge of its structure and capabilities SQL - knowledge/experience of writing scripts, queries, DML & DDL PL/SQL - coding experience for stand-alone scripts, procedures, packages and triggers ETL/Data Migration - experience of data migration projects and working with large data sets Data load Utilities - SQL*Loader plus use of Database Links Performance Tuning - code analysis and execution More ❯

strategy , design and tuning Data Modeling SaaS/Cloud architectures Oracle database architecture Architecting and tuning integrations (with products like Oracle Integration Cloud, Boomi, Mulesoft, Celigo, Workato or Snaplogic) ETL tools and techniques Experience in the following areas are desired: Software development life-cycles (SDLC) Release management and/or Agile scrum master experience Developing and optimizing NetSuite SuiteScript, JavaScript. More ❯

strategy , design and tuning Data Modeling SaaS/Cloud architectures Oracle database architecture Architecting and tuning integrations (with products like Oracle Integration Cloud, Boomi, Mulesoft, Celigo, Workato or Snaplogic) ETL tools and techniques Experience in the following areas are desired: Software development life-cycles (SDLC) Release management and/or Agile scrum master experience Developing and optimizing NetSuite SuiteScript, JavaScript. More ❯

develop, and manage scalable data solutions on the Microsoft Azure platform. You'll play a key role in architecting and implementing robust data integration solutions, as well as building ETL pipelines to support data ingestion, transformation, and loading click apply for full job details More ❯

encryption protocols (TLS, OAuth, JWT, SAML). Experience with Mainframe technologies (COBOL, DB2, JCL, MQ, z/OS Connect, API Connect). Knowledge of API integration, data pipelines, and ETL processes . Scripting or automation skills (Python, Shell, or Groovy) beneficial. Experience in secure data engineering and compliance-driven environments (banking/government/enterprise). More ❯

encryption protocols (TLS, OAuth, JWT, SAML). Experience with Mainframe technologies (COBOL, DB2, JCL, MQ, z/OS Connect, API Connect). Knowledge of API integration, data pipelines, and ETL processes . Scripting or automation skills (Python, Shell, or Groovy) beneficial. Experience in secure data engineering and compliance-driven environments (banking/government/enterprise). More ❯

to drive the data migration workstream implement the migration strategy. Requirements: Proven experience leading data migration projects within insurance, reinsurance, or financial services environments. Strong knowledge of data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication More ❯