> Markdown version of [/jobs/ext/4128719-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/4128719-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Capgemini - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Continuous Integration, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Database Theory, Python (Programming Language), Shell Script, SQL Databases, Talend, Data Ingestion, Azure Data Factory, Large Language Models, Snowflake, Multi-Cloud, Git, Star Schema, Microservices - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f6f808be24e320c7 ## About the Role * Handson experience with Snowflake Data Warehouse * Strong proficiency in SQL and database concepts * Experience in ETLELT development and data integration * Knowledge of Snowflake Tasks Streams Snow pipe and Time Travel * Experience with cloud platforms such as AWS Azure or GCP * Good understanding of Data Warehousing and Data Modelling concepts * Experience with Python Shell Scripting or Java for automation * Knowledge of Git and CICD processes ## Description Join a high-impact architecture role where you'll drive enterprise-scale cloud, data, and AI initiatives. Work with modern technologies including GenAI, LLMs, microservices, and multi-cloud platforms while influencing architecture strategy, engineering excellence, and innovation across the organization . Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time., * Design develop and maintain data warehouse solutions using Snowflake * Develop and optimize ETLELT pipelines for data ingestion and transformation * Create and manage Snowflake databases schemas tables views tasks and streams * Implement data modelling techniques including Star Schema and Snowflake Schema * Optimize queries warehouse performance and storage utilization * Integrate Snowflake with ETL tools such as Informatica Matillion Talend DBT or Azure Data Factory * Develop data quality validation and monitoring processes * Ensure data security governance and compliance using Snowflake features * Collaborate with business stakeholder's architects and analytics teams to deliver data solutions