Principal Machine Learning Engineer

We are looking for a Principal Machine Learning Engineer to shape the next generation of our data and machine learning capabilities, focusing on data quality, enrichment, and the intelligent linking of products and information.

Requirements

• Extensive experience designing and leading the development of large-scale distributed data and/or ML backend systems.
• Hands-on experience with ETL pipeline design and optimization for complex data sets is a strong advantage.
• Deep familiarity with technologies such as Apache Beam, Pub/Sub, Redis, and other large-scale data processing frameworks.
• Expertise in backend development with Python and Scala; knowledge of Node.js or Golang is a plus.
• Proficient with both SQL and NoSQL databases, and experience with data warehousing solutions.
• Demonstrated experience building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP preferred), using Kubernetes, Docker, CI/CD, and observability tools.
• Proven ability to lead and influence engineering direction across teams and functions, particularly in a data-centric and ML-driven environment.
• Strong communication skills and the ability to align diverse technical stakeholders around a cohesive vision for data quality and knowledge extraction.

Benefits

• 25 days’ annual leave, Juneteenth, your birthday off, and a paid office closure between Christmas and New Year's.
• Health insurance.
• 15 days of paid sickness and wellness days.
• A generous learning and development budget and an annual leadership development programme.
• In-house DE&I council and mental health first-aiders.
• Collaborate with our two hubs in Portugal: Lisbon and Porto.
• A strong company culture that includes weekly meetings, company updates, team socials, and celebrations.