Data and Analytics Engineer

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 tools (dbt, Airflow). EMI share options Training budget Private healthcare Pension 25 days holiday + bank holidays Central London office & socials Work abroad up to 1 month/year Join a fast-growing team of engineers, analysts, and data scientists solving complex problems with societal and commercial impact. This is a chance to take real ownership and accelerate your data career.