Resumen del rol

Data Engineer (Analytics) — Amplify Platform

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

What you'll be doing

  • Build and scale data pipelines for product events, usage data, and customer datasets.

What you'll be doing

  • Develop analytics infrastructure using technologies like Kafka, ClickHouse, and PostgreSQL.

What you'll be doing

  • Own data models, KPI definitions, and metric layers powering dashboards and product features.

What you'll be doing

  • Build reliable ingestion processes for both structured and messy customer-provided datasets.

What you'll be doing

  • Ensure privacy-first data practices through anonymisation, pseudonymisation, and tenant-level controls.

What you'll be doing

  • Collaborate with engineering and product teams to make data accessible, trusted, and actionable.

What you bring to our team

  • 4+ years of experience in data engineering.

What you bring to our team

  • Strong SQL and Python skills.

What you bring to our team

  • Experience with analytics databases (ClickHouse preferred) and streaming pipelines (Kafka).

What you bring to our team

  • Strong data modelling skills across OLTP and OLAP systems.

What you bring to our team

  • Experience building KPI/metric layers and working with analytics sources such as PostHog.

What you bring to our team

  • A strong understanding of privacy engineering and GDPR requirements.

Why join Saga

  • A salary between €4,000–€6,000 gross per month (all-inclusive, based on a 40-hour week), depending on experience and skill set

Why join Saga

  • The opportunity to shape the user experience of one of Europe's fastest-growing legal innovation companies, serving legal professionals worldwide.

Why join Saga

  • High ownership and autonomy - you'll own product quality across the platform and make visible improvements every week.

Why join Saga

  • A collaborative international team that values craftsmanship, thoughtful engineering, and continuous improvement.
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FocoData EngineeringÁrea del rol
Señal de seniorityMiddleNivel del candidato
StackPostgreSQL, Python, SQLSkills principales
Ubicación41 países aceptadosElegibilidad

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