2 of 2 Data Analytics Engineer Jobs in London

Analytics Engineer Hybrid, Central London Were partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. Theyre expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. Youll design and maintain robust data pipelines, optimize cloud data warehouses, and enable … analytics and modelling teams with reliable, high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams … with clean, production-ready data 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Experience with SaaS products, analytics tooling, or modern data stack More ❯

Senior Data and Analytics Engineer - Front Office/FI London Excellent package plus bonus/benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at … productionand to operate with a self-starter mindset in a fast-paced, collaborative environment. Essential skills & experience: You should have at least 5+ years experience as a Front Office Engineer (buy-side, sell-side, or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track … record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg More ❯