226 to 250 of 439 ETL Jobs in London

to senior stakeholders on progress, risks, and dependencies. Experience & Skills Required Proven experience as a Product Owner , ideally within data or analytics-driven environments. Strong understanding of data platforms , ETL pipelines , and cloud technologies (Azure, AWS, or GCP). Knowledge of data governance , metadata management , or regulatory data reporting highly desirable. Previous experience in London Markets, insurance , financial services , or More ❯

to senior stakeholders on progress, risks, and dependencies. Experience & Skills Required Proven experience as a Product Owner , ideally within data or analytics-driven environments. Strong understanding of data platforms , ETL pipelines , and cloud technologies (Azure, AWS, or GCP). Knowledge of data governance , metadata management , or regulatory data reporting highly desirable. Previous experience in London Markets, insurance , financial services , or More ❯

analyst or data analyst)* Proficiency in working with data formats such as XML, JSON, CSV, EDI, XLSX* Strong communication and collaboration skills* Fluent in English Desirable Skills:* Familiarity with ETL tools or data integration platforms (e.g., IBM DataStage, Palantir)* Experience with documentation tools and specifications (e.g., Excel-based mapping documents, BPMN, UML)* Proficiency in XML tooling, XSLT, and DataStage Designer More ❯

are very important. You must have worked in a similar role in UK Banking Essential knowledge/experience/skills: Banking background Data Analysis Data mapping/integration/ETL Financial Services Data Cloud platforms (ideally GCP) SQL Stakeholder management Common Data Model Ideally, you will also have: Data visualisation experience (PowerBI preferred) Salesforce CRM Product Knowledge of Lending within More ❯

are very important. You must have worked in a similar role in UK Banking Essential knowledge/experience/skills: Banking background Data Analysis Data mapping/integration/ETL Financial Services Data Cloud platforms (ideally GCP) SQL Stakeholder management Common Data Model Ideally, you will also have: Data visualisation experience (PowerBI preferred) Salesforce CRM Product Knowledge of Lending within More ❯

What You'll Bring: 8+ years in Data Analytics/Science. Expertise in SQL and dashboarding tools ( Tableau/Qlik ). Familiarity with big data tools ( Snowflake, Databricks ) and ETL . Experience with A/B testing and Python/R is preferred. Contract Details: Location: London, UK Duration: 10 Months Rate: Up to £277 (Umbrella) Ready to turn global More ❯

What You'll Bring: 8+ years in Data Analytics/Science. Expertise in SQL and dashboarding tools ( Tableau/Qlik ). Familiarity with big data tools ( Snowflake, Databricks ) and ETL . Experience with A/B testing and Python/R is preferred. Contract Details: Location: London, UK Duration: 10 Months Rate: Up to £277 (Umbrella) Ready to turn global More ❯

Work with data governance, security and privacy teams to embed their requirements into solutions and repeatable data engineering patterns. Oversee and provide guidance to the data teams in implementing ETL processes using Terraform, dbt and Airflow to streamline data flow. Champion DataOps practices across the data team, focusing on automated testing, continuous integration/continuous deployment (CI/CD), and More ❯

in Microsoft Office skills, including Outlook, Word, Excel and PowerPoint and other applications such as Microsoft 365, SharePoint, Teams and OneDrive. Power Apps and Power Automate experience. Experience in ETL tools, such as SSIS. Business Central experience. Good knowledge and Development experience of MS SQL. Experience in creating UAT scripts. Technical writing experience with the ability to present technical information More ❯

Responsibilities Design, build, and maintain scalable data pipelines across modern cloud platforms Drive the implementation of GenAI frameworks, including model deployment, monitoring, and lifecycle management ('GenAI Ops') Develop robust ETL/ELT workflows and optimise performance within Snowflake Collaborate with cross-functional teams to integrate AI solutions into data ecosystems Must-Haves Strong background in Data Engineering at a senior More ❯

technologies · Experience in monetary policy analysis · Experience in time series database analysis · Experience in large Business Transformation Programs involving process reengineering · Extensive experience in UCD led approach, UI development, ETL processes, data flows analysis, cloud architecture, and data modernisation/transformation programs · Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative ways forward and More ❯

technologies · Experience in monetary policy analysis · Experience in time series database analysis · Experience in large Business Transformation Programs involving process reengineering · Extensive experience in UCD led approach, UI development, ETL processes, data flows analysis, cloud architecture, and data modernisation/transformation programs · Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative ways forward and More ❯

deployment of ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). - Experience with modern AI concepts: prompt engineering, embeddings, vector search, etc. - Skilled in managing complex codebases (Git) and working with cloud platforms (GCP More ❯

deployment of ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). - Experience with modern AI concepts: prompt engineering, embeddings, vector search, etc. - Skilled in managing complex codebases (Git) and working with cloud platforms (GCP More ❯

for data imports, exports, and trigger sends. Integrating SFMC with external systems (CDP, CRM, backend services, etc.). Data Management Design, maintain, and optimize data models within SFMC. Understand ETL processes and data flows between systems. Ensure high data quality through cleaning, governance, and validation processes. Monitoring & Troubleshooting Diagnose issues across journeys, automations, and trigger sends. Use Data Views, error More ❯

for data imports, exports, and trigger sends. Integrating SFMC with external systems (CDP, CRM, backend services, etc.). Data Management Design, maintain, and optimize data models within SFMC. Understand ETL processes and data flows between systems. Ensure high data quality through cleaning, governance, and validation processes. Monitoring & Troubleshooting Diagnose issues across journeys, automations, and trigger sends. Use Data Views, error More ❯

table. Qualifications: - Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep More ❯

table. Qualifications: - Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep More ❯

depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc. More ❯

depth experience with all things data including the ability to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc. More ❯

Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, Databricks ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science … data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data management best practices including demonstrated experience with More ❯

modern cloud data environment. Key Responsibilities Build and maintain Power BI reports and dashboards that deliver accurate and timely insights for operational and business stakeholders. Develop, test, and maintain ETL pipelines in Azure Data Factory (ADF) to ensure reliable data integration and transformation. Work with Azure Synapse Analytics to model, query, and optimise data for analysis and reporting. Support the … Technical Skills Power BI: Strong experience in developing and publishing reports, dashboards, and data models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Azure Synapse Analytics: Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure More ❯

modern cloud data environment. Key Responsibilities Build and maintain Power BI reports and dashboards that deliver accurate and timely insights for operational and business stakeholders. Develop, test, and maintain ETL pipelines in Azure Data Factory (ADF) to ensure reliable data integration and transformation. Work with Azure Synapse Analytics to model, query, and optimise data for analysis and reporting. Support the … Technical Skills Power BI: Strong experience in developing and publishing reports, dashboards, and data models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Azure Synapse Analytics: Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure More ❯

looking for a skilled Data Engineer to play a crucial role in building and optimizing the firm's data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes. Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Drive innovation by exploring new technologies and best More ❯

looking for a skilled Data Engineer to play a crucial role in building and optimizing the firm's data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes. Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Drive innovation by exploring new technologies and best More ❯