Senior Manager – Data Engineering & Machine Learning

As Senior Manager – Data Engineering & Machine Learning, you'll lead Catawiki's established team of Data Engineers and Machine Learning specialists. You'll help the team grow, set its technical direction and build on work already underway across data foundations and production machine learning. The role spans two connected disciplines. You'll bring deep experience in either Data Engineering or Machine Learning Engineering, and enough breadth to set direction across the other. This is a hybrid role in Amsterdam, working from the Amsterdam HQ a minimum of 2 days per week.

Responsibilities

Lead and develop the team: set direction, coach experienced specialists and create clear ownership across Data Engineering and Machine Learning; Build dependable data foundations: improve the pipelines, integrations and infrastructure the wider Data team relies on for analysis, reporting and machine learning; Strengthen production ML: improve deployment, monitoring and operational follow-through for production models; Advance marketplace models: help teams improve recommendation, cancellation and bidder-risk use cases, connecting model performance to meaningful product outcomes; Set direction and priorities: work with Product, Engineering, Analytics and business partners to choose high-value problems and balance delivery, reliability and long-term platform health; Shape the technology strategy: reporting to the SVP Engineering, join the Engineering Management team and help shape the direction of the Technology department

Requirements

Technical depth in one discipline: deep experience designing, building and operating data-intensive systems in Data Engineering or Machine Learning Engineering, with practical knowledge of the other; People leadership: experience leading experienced engineers or ML specialists, coaching their growth and setting clear expectations; Architecture and systems thinking: ability to evaluate trade-offs and guide architecture for data platforms, distributed systems and production infrastructure; Production ML understanding: experience with the deployment, monitoring and operation of machine learning systems in production; Business and product judgement: ability to connect technical work to business goals, make priority calls and assess outcomes; Relevant cloud platform experience: GCP using BigQuery, Vertex AI and Kubernetes; Streaming and integration experience: Kafka, event-driven systems or modern data integration tools; Clear communication: ability to explain technical trade-offs and align technical and non-technical stakeholders

Nice to have

Familiarity with Catawiki's current stack; Equivalent experience with other platforms; Experience with equivalent AWS services; Kafka, event-driven systems or modern data integration tools

Benefits

€100 Catavoucher when you join; €50 Catavoucher on your birthday; An extra day off each year to Pursue Your Passion; Additional leave for key work anniversaries and important life events; Learning & Development initiatives, including development plans and mentorship programmes