Senior Engineer, Data Engineering
Pubblicato il 13-08-2026 - Moneyfarm in Italia
DescriptionWe 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.Our visionOur vision is to combine passion, expertise, and technology to provide best-in-class investment solutions and advice that protects and grows client wealth over time.Our Core Values:We've built our business on three Principles:We empower our employees to succeed, so they can make a real impact.Our customers dream big, just like us: We see the bigger picture and we make sure our customers see it, too.
We're always focused on the best outcomes for our clients and for each other, no matter what the goal, or how big the dreamWhat this means in practice:We move with purpose, urgency, and ambition, focused on delivering outcomes that matter for our clients and our business. As we evolve, we embrace AI as a catalyst for sharper thinking, smarter decisions, and even greater impact.Different perspectives, backgrounds, and experiences fuel our creativity and drive better decisions — it's our competitive edge. We value people for who they are and their unique strengths: that's why we offer flexible ways of working to support them in doing their best work.Are you excited about launching a new product and building data pipelines from scratch? Are you ready to help us fine tune our Redshift + Airflow + DBT data platform while decommissioning legacy components? Responsibilities:Own the design, implementation, and maintenance of data inf