Senior Engineer, Data Engineering

ppWe 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. /ppWith 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. /ph3Our vision /h3pOur 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. /ph3Our Core Values: /h3pWe’ve built our business on three Principles: /pulliRelationships are our first asset: We empower our employees to succeed, so they can make a real impact. /liliOur 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 dream /li /ulpstrongWhat 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. /ppAre 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? ppbResponsibilities /b: /pulliOwn the design, implementation, and maintenance of data infrastructure for ingestion, orchestration, and transformation. /liliBuild and maintain Moneyfarm’s analytical data models, ensuring they are performant, scalable, and reliable. /liliContribute to the incremental decommissioning of legacy components while ensuring data continuity for the business. /liliContribute to AI powered capabilities of Moneyfarm data Platform. /liliWork closely with analysts, software engineers, and product teams to solve complex data problems and deploy ML/AI applications. /liliBring positive impact to Moneyfarm data culture by sharing knowledge and promoting best practices /li /ululli5+ years of relevant work experience in data engineering roles /liliBSc or higher degree in Engineering, Computer Science or related discipline /liliExperience in fintech / wealth management /li /ulpbSkills /b /pulliDeep proficiency in SQL and Python /liliMeaningful experience with Airflow and DBT /liliStrong experience with Redshift (BigQuery is a plus) /liliExperience with AWS and familiarity with Infrastructure-as-Code (Terraform) /liliComfortable integrating AI tooling in daily work /liliExcellent written and verbal communications skills, also with non technical stakeholders /liliAbility to translate business requirements into well-designed data solutions /liliComfortable working in iterative environments balancing quality and delivery /liliFluency in English is essential (most stakeholders are UK based). /li /ulpThis role can be based in our offices in Milan or Cagliari. /ppbLevel Compensation: /b /ppWe apply CCNL Credito and based on candidate's experience and skills, we will assign the title of bSenior Data Engineer /b. /45,000
- €65,000 gross/year + bonus, based on experience/competences demonstrated /pulliHealth Insurance, Wellness plan /liliFee free investments on Moneyfarm platform /liliCareer development opportunities /liliTraining opportunities /liliRegular office social events /li /ul /p #J-18808-Ljbffr