We’re a pan-European digital wealth manager with 130,000 active investors (growing fast!) and over €5 billion invested on our platform. With 220+ people across 4 offices in Italy and the UK, we’re supported and funded by Poste Italiane, Cabot Square Capital, United Ventures and Allianz. We started in 2011 in Milan with a simple vision - to help more people improve their financial well-being by making personal investing straightforward and accessible through technology. Fast forward a few years, and we’re known as one of the most innovative fintechs headquartered in the heart of London.

REQUIREMENTS

• Approximately 3-5 years of relevant work experience in data engineering roles
• BSc or higher degree in Engineering, Computer Science or related discipline
• Significant skills and exposure in ETL design, implementation and maintenance.
• Strong proficiency in SQL, experience with Python, exposure to DBT considered a plus
• Experience with AWS cloud computing services (Redshift, S3), GCP or similar
• Experience with Apache Airflow or similar nice to have
• Ability to merge the multiple requirements of data projects into robust future-proof solutions.
• Excellent written and verbal communications skills, also with non technical stakeholders
• Demonstrated ability to adapt to fast-paced environments and manage multiple priorities.
• Fluency in English is essential (most stakeholders are UK based).
  This role can be based in our offices in Milan, London or Cagliari. Our smart working policy requires 2 days of in-office presence per week.
  For this role, please upload your CV in English.

ABOUT THE ROLE

Data plays a central role in Moneyfarm’s success.
Are you excited about launching a new product and building from scratch its data pipelines? Are you ready to make an impact on the whole Moneyfarm data platform? If the answer is yes, we are looking forward to hearing from you.

MAIN RESPONSIBILITIES:

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• Design, implement, optimise and deploy ETL pipelines in production.

• Monitor and maintain existing ETL procedures in the data platform.
• Monitor data quality within company data warehouse and discover potential issues
• Collaborate on maintenance and evolution of Moneyfarm’s data models.
• Collaborate with data analysts and product teams to understand data requirements, and implement data transformations and aggregations to support their analyses and modelling.
• Collaborate with Platform Engineers to develop and improve data platform, and workflow scalability
• Collaborate with Data Scientists to deploy and maintain machine learning models.
• Contribute to the documentation of data processes, architecture, and guidelines for the wider team.