8 of 8 Remote ETL Development Jobs in London

technical excellence, and a shared passion for turning data into insight. Key accountabilities ETL Development Develop and implement robust Extract, Transform, Load (ETL) processes to ensure the seamless flow of data from source systems to data repositories. Optimise and streamline data pipelines for maximum performance and reliability. … or equivalent experience. 3-5 years of data engineering experience, with a proven track record of designing, building, and maintaining scalable data pipelines and ETL processes. Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with … Dental Insurance & Critical Illness. - Employee assistance programme, season ticket loans and cycle to work scheme. - Volunteering opportunities and charitable giving options. - Great learning and development opportunities. More about WGSN WGSN is the global authority on consumer trend forecasting. We help brands around the world create the right products at More ❯

This role is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure … opportunity to make a real impact in a small, skilled team, helping shape the firm’s data strategy and capabilities. Technical Skills Data Integration & ETL Azure Data Factory (ADF): Expert in setting up, configuring, and maintaining Azure Data Factory pipelines for efficient ETL processes, with a strong focus … Service (DIS) –4 x salary (to age 70) Critical Illness Cover (CIC) -£10k cover (to age 70) Bonus scheme Professional qualifications, study, training and development And many more….. Get in touch to find out more about the benefit package, the organisation, and this career opportunity. Apply below And More ❯

This role is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure … opportunity to make a real impact in a small, skilled team, helping shape the firm’s data strategy and capabilities. Technical Skills Data Integration & ETL Azure Data Factory (ADF): Expert in setting up, configuring, and maintaining Azure Data Factory pipelines for efficient ETL processes, with a strong focus … Service (DIS) –4 x salary (to age 70) Critical Illness Cover (CIC) -£10k cover (to age 70) Bonus scheme Professional qualifications, study, training and development And many more….. Get in touch to find out more about the benefit package, the organisation, and this career opportunity. Apply below And More ❯

to 10+ years' extensive experience in SQL Server data warehouse or data provisioning architectures. Advanced SQL query writing & SQL procedure experience. Experience developing ETL solutions in SQL Server including SSIS & T-SQL. Experience in Microsoft BI technologies (SQL Server Management Studio, SSIS, SSAS, SSRS). Experience of data/… dependencies. Sound knowledge of MS Excel & VBA. Knowledge and exposure to Insurance Businesses and/or other Banking and Finance domains. Exposure to DW development practices (code & configuration management, build processes). Appreciation of design patterns and practices that apply to the data warehouse space (e.g., Data Modelling). … Jira, Confluence, MS Teams, or similar collaboration tools. Exposure to BI reporting toolsets. Understanding of Agile principles. Demonstrable experience in mentoring or supporting the development of team members. Azure SQL DB, Data Factory, Data Lake, Logic apps, Data Bricks (Spark SQL) and/or Snowflake experience is advantageous. More ❯

contributing to bug bounty and responsible disclosure programs Understanding of language models and transformers Rich understanding of vector stores and search algorithms Large-scale ETL development Direct engineering experience of high performance, large-scale ML systems Hands on MLOps experience, with an appreciation of the end-to-end … talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color More ❯

contributing to bug bounty and responsible disclosure programs Understanding of language models and transformers Rich understanding of vector stores and search algorithms Large-scale ETL development Direct engineering experience of high performance, large-scale ML systems Hands on MLOps experience, with an appreciation of the end-to-end More ❯

strong understanding of the insurance industry, along with hands-on experience in delivering end-to-end data solutions—such as building data lakes, developing ETL processes, and deploying data visualization tools. Working closely with global teams and reporting to the Group Data Lead , the Senior Data Analyst will play … multiple sources Communicate insights to both technical and non-technical audiences Ensure data quality through governance and regular checks Design and implement data pipelines, ETL processes, and dashboards Apply knowledge of analytics, AI, and cloud technologies Work with varied data products and data lake architectures Coordinate projects with internal More ❯

strong understanding of the insurance industry, along with hands-on experience in delivering end-to-end data solutions—such as building data lakes, developing ETL processes, and deploying data visualization tools. Working closely with global teams and reporting to the Group Data Lead , the Senior Data Analyst will play … multiple sources Communicate insights to both technical and non-technical audiences Ensure data quality through governance and regular checks Design and implement data pipelines, ETL processes, and dashboards More ❯