22 set - Cagliari
Moneyfarm
Who we are:We are a rapidly growing pan-European digital wealth manager, serving over 167,000 active investors with more than £5.5 billion invested on our platform. We began in Milan in 2011 with the purpose to help more people improve their financial well-being by making personal investing simple and accessible through technology. Fast forward to today, and we are recognised as one of the most innovative fintechs, headquartered in the heart of London.Scopra di più sulle mansioni generali e sulle competenze richieste per questa possibilità leggendo di seguito.Who we are:We are a rapidly growing pan-European digital wealth manager, serving over 167,000 active investors with more than £5.5 billion invested on our platform. We began in Milan in 2011 with the purpose to help more people improve their financial well-being by making personal investing simple and accessible through technology. Fast forward to today, and we are recognised as one of the most innovative fintechs, headquartered in the heart of London.With a team of 220+ people across 4 offices in Italy and the UK, we are proudly backed and funded by major partners including Poste Italiane, Cabot Square Capital, United Ventures, and Allianz.We are looking for a talented Freelance Mid-Senior Data Engineer to support our AI Operational Efficiency stream.In this role, you won't just maintain pipelines; you will be a true "builder" with a smart,
proactive attitude, capable of bridging the gap between a Modern Data Stack and cutting-edge GenAI applications. xysqume You will play a key role in driving operational efficiency through data and AI-driven automation.ResponsibilitiesDesign, build, and optimize scalable data pipelines to power our AI operational initiativesImplement and manage data flows tailored for agentic workflows and LLM interactionsMaintain and evolve our data infrastructure, ensuring high data quality and availabilityPartner with the AI team to deploy smart, efficient, and automated solutionsRequirementsTechnical Requirements:Strong proficiency in Python for data engineering and scriptingSolid experience with DBT for data transformation and modelingHands-on experience with orchestration tools, specifically AirflowDeep 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)Mindset:"Builder" Mentality: You love creating, optimizing, and taking ownership of technical solutions from scratchSmart & Resourceful: Fast learner, adaptable, and capable of thriving in a fast-paced environment with minimal supervisionFreelance direct contract - 12 months#J-18808-Ljbffr
23 set - Lecce
Snai
23 set - Tempio Pausania
Serafina
23 set - Grosseto
Il Globo Vigilanza
23 set - Bolzano
Kpmg Italy