76 to 85 of 85 ETL Jobs in the City of London

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes … Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes … Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance … particularly in Asian trading hours when required. Train & mentor other developers in data engineering best practices. Requirements Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets. 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution. Experience with database performance tuning, query More ❯

Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance … particularly in Asian trading hours when required. Train & mentor other developers in data engineering best practices. Requirements Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets. 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution. Experience with database performance tuning, query More ❯

research, and technology push the boundaries of systematic investing. You will be building and optimizing the data backbone that powers cutting-edge trading strategies. From designing and maintaining automated ETL pipelines to creating RESTful APIs and contributing to the core data architecture, you'll ensure seamless data flow across the platform. You'll also implement data quality checks to guarantee … smarter, faster decisions. If you're passionate about building robust data solutions that power global markets, this is your chance to make an impact. Responsibilities: Develop and maintain automated ETL pipelines to accelerate dataset onboarding and manage the full data pipeline lifecycle. Design and implement RESTful APIs to support data access and integration. Contribute to the architecture and development of … years' experience as a Data Engineer, ideally from Big Tech or finance. Advanced Python skills, including pandas and Linux proficiency. Experience with and knowledge of SQL, Experience with ETL pipelines and data lifecycle management. Familiarity with AWS cloud infrastructure. Ability to start within 3 months (notice and non-compete). More ❯

world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role: Seeking a skilled Data Analyst with expertise in Teradata, Informatica ETL, and risk modeling using SAS and Python. Design and implement ETL workflows to manage data extraction, transformation, and loading into Teradata. Build and maintain risk models for credit, operational, and … deliver data-driven solutions. Perform exploratory data analysis to uncover trends and support risk mitigation. Automate reporting and dashboard creation using Python and BI tools. Optimize Teradata queries and ETL performance for efficient data processing. Document data flows, model logic, and technical specifications for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years … of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping More ❯

AI platform from the ground up - no off-the-shelf solutions, no shortcuts. To power this, they need a skilled Azure AI Data Engineer to design and build robust ETL pipelines that enable seamless communication between structured and unstructured data systems. What You'll Be Doing Architecting and developing scalable ETL pipelines using Azure Data Factory, Synapse, and related tools. More ❯

is a fantastic opportunity to work in a high-performing, collaborative team environment with the flexibility of a hybrid working model in Central London. Key Responsibilities: Design and implement ETL pipelines for data lakes, data warehouses, ODS, and data marts Collaborate with business and technical teams to onboard new insurance programs Cleanse, profile, and validate large data sets to ensure … reporting tools to support business insights Contribute to the growth and optimisation of the enterprise data infrastructure Required Experience: Insurance industry experience is essential 5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data profiling, cleansing, and validation Excellent communication and organisational skills What More ❯

Surrey (2 days onsite) £650 day rate, outside IR35 Your new roleIn your new role, you will be leading data-related activities during transition and working with Data Mapping, ETL management, Integration and documentation and planning, whilst working with Data Migration architecture including data modelling and data governance. You will be supporting assessment and solution design of future synergy case … as required. What you'll need to succeed Experience working within architecture and data Strong experience as a Data/Solutions/Enterprise Architect Experience with Data Mapping and ETL management Excellent communication skills Strong stakeholder management skills What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date More ❯