Data Engineer
Salva questo lavoro e mantieni la tua ricerca organizzata
Crea un account gratuito per salvare lavori, creare avvisi e tornare a questa inserzione dalla tua dashboard.
Continuando accetti i nostri Termini & Informativa sulla privacy.
We are a rapidly growing pan-European digital wealth manager, serving over 167,000 active investors with over £6.5 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 vision Our 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:
- Relationships are our first asset: We’re one team, built on trust, honesty, and transparency. We value our relationships above all else
- Trust drives success: We give each other the space to grow. 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 dream
- Contribute to the design, implementation, and maintenance of data infrastructure for ingestion, orchestration, and transformation
- Build and maintain Moneyfarm’s analytical data models, ensuring they are performant, scalable, and reliable
- Contribute to implementation and deployment of machine learning and advanced analytics solutions
- Reconcile vast amounts of raw data ingested from different sources into purposeful and meaningful aggregates
- Work closely with Acquisition team data analyst, data scientist, software engineers, marketing specialist and product manager
- Produce artifacts that can be consumed by both human agents and AI tools
- Build a strong understanding of the marketing acquisition context and get obsessed about how to generate business value through data - if you expect to work in a technological silos, probably this role is not for you.
- 3+ years of relevant work experience in data engineering roles
- BSc or higher degree in Engineering, Computer Science or related discipline
- Experience in fintech / wealth management nice to have
- Deep proficiency in SQL and Python
- Deep proficiency with Airflow and DBT
- Strong experience with Redshift (BigQuery is a plus)
- Experience with AWS and familiarity with Infrastructure-as-Code (Terraform)
- Familiarity with conversion tracking and digital marketing data stack is a strong plus (Adform, Adjust, Google Analytics, Google Tag Manager, Rudderstack)
- Excellent written and verbal communications skills, also with non technical stakeholders
- Ability to translate business requirements into well-designed data solutions
- Comfortable working in iterative environments balancing quality and delivery
- Fluency in English is essential (most stakeholders are UK based)