Head of Data Eng & ML Platform

Catawiki; Amsterdam; Hybrid; EUR 140,000 - 200,000; Full time

Benefits offered by this job

Visible impact at scale

Learning & Development

Inclusive, global culture

Catavouchers on join and birthday

Extra leave for life events

Job summary

Catawiki in Amsterdam leads platform modernisation and ML-focused product work. You will guide eight Data Engineers and ML specialists across Amsterdam and Lisbon, setting direction and standards while aligning analytics with business goals.

Responsibilities include strengthening data pipelines, improving feature management, deploying production ML, and advancing marketplace models such as recommendations and bidder-risk use cases, under the Engineering Management team.

Qualifications

• Deep experience designing, building and operating data-intensive systems.
• People leadership experience guiding engineers and ML specialists.
• Ability to evaluate trade-offs and guide data platform architecture.
• Experience deploying and monitoring ML systems in production.
• Ability to align technical work with business goals.

Responsibilities

• Lead and develop the Data Engineering and ML team across Amsterdam and Lisbon.
• Improve data pipelines and infrastructure used for analysis, reporting and ML.
• Strengthen production ML deployment, monitoring and reliability.
• Advance marketplace models like recommendations, cancellations and bidder-risk use cases.
• Set priorities with product, engineering and analytics to balance delivery and platform health.
• Shape the technology strategy reporting to the SVP Engineering.

Skills

Technical depth in one discipline

People leadership

Architecture and systems thinking

Production ML understanding

Business and product judgement

Cloud platform experience

Streaming and data integration

Clear communication

Tools

BigQuery

Vertex AI

Kubernetes

Kafka

Job description

Catawiki in Amsterdam leads platform modernisation and ML-focused product work. You will guide eight Data Engineers and ML specialists across Amsterdam and Lisbon, setting direction and standards while aligning analytics with business goals.

Responsibilities include strengthening data pipelines, improving feature management, deploying production ML, and advancing marketplace models such as recommendations and bidder-risk use cases, under the Engineering Management team.