
51 - 200 employees
💸 Finance
💳 Fintech
👥 B2C
💰 Series D on 2022-01
Finance • Fintech • B2C
Moneyfarm is a financial services company that specializes in making personal investing simple and accessible. It offers services in investments, asset allocation, wealth management, and personal finance, with a focus on ETFs and savings. With over 80,000 investors and more than £2. 2 billion in assets, Moneyfarm creates tailored portfolios to meet individual goals, promoting financial well-being for its clients.
🕒 May 27
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51 - 200 employees
💸 Finance
💳 Fintech
👥 B2C
💰 Series D on 2022-01
Finance • Fintech • B2C
Moneyfarm is a financial services company that specializes in making personal investing simple and accessible. It offers services in investments, asset allocation, wealth management, and personal finance, with a focus on ETFs and savings. With over 80,000 investors and more than £2. 2 billion in assets, Moneyfarm creates tailored portfolios to meet individual goals, promoting financial well-being for its clients.
• Design, build, and optimize scalable data pipelines to power AI operational initiatives • Implement and manage data flows tailored for agentic workflows and LLM interactions • Maintain and evolve data infrastructure, ensuring high data quality and availability • Partner with the AI team to deploy smart, efficient, and automated solutions
• Strong proficiency in Python for data engineering and scripting • Solid experience with DBT for data transformation and modeling • Hands-on experience with orchestration tools, specifically Airflow • Deep knowledge of Amazon Redshift or equivalent Modern Data Stack technologies (Snowflake, BigQuery, etc.) • Familiarity with agentic workflows and building architectures that interact with LLMs (e.g., LangChain, LlamaIndex, RAG patterns) • "Builder" mentality: creating, optimizing, and taking ownership of technical solutions from scratch • Fast learner, adaptable, and capable of thriving in a fast-paced environment with minimal supervision • Freelance direct contract - 12 months • Upload CV in English
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