Senior Data Engineer: Shape a Next-Gen Fintech Data Platform

Moneyfarm; Italia; On-site; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Health Insurance

Wellness plan

Fee free investments on Moneyfarm平台

Job summary

Moneyfarm in Milan or Cagliari is seeking a Senior Data Engineer to lead design and maintenance of our data infrastructure, including ingestion, orchestration, and transformation. You will build analytical data models and ensure they are scalable and reliable.

You will decommission legacy components, contribute to AI-powered capabilities, and collaborate with analysts, software engineers and product teams to translate business needs into robust data solutions.

Qualifications

• 5+ years of data engineering experience
• BSc or higher in Engineering or Computer Science
• Experience in fintech / wealth management

Responsibilities

• Own 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 the incremental decommissioning of legacy components while ensuring data continuity for the business.
• Contribute to AI powered capabilities of Moneyfarm data Platform.
• Share best practices through code reviews and knowledge sharing, supporting the growth of the team.
• Work closely with analysts, software engineers, and product teams to solve complex data problems and deploy ML/AI applications.
• Bring positive impact to Moneyfarm data culture by sharing knowledge and promoting best practices

Skills

SQL

Python

Airflow

DBT

Redshift

AWS

Terraform

AI tooling

English fluency

Education

BSc or higher in Engineering/Computer Science

Tools

BigQuery

Job description

Moneyfarm in Milan or Cagliari is seeking a Senior Data Engineer to lead design and maintenance of our data infrastructure, including ingestion, orchestration, and transformation. You will build analytical data models and ensure they are scalable and reliable.

You will decommission legacy components, contribute to AI-powered capabilities, and collaborate with analysts, software engineers and product teams to translate business needs into robust data solutions.