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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (Analytics) - Amplify Platform - **Company:** Saga - **Location:** AMSTERDAM, Netherlands (Remote available) - **Experience:** Experienced - **Salary:** €4,000.0 - €6,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Databases, Customer Data Management, Information Engineering, Data Infrastructure, Python (Programming Language), PostgreSQL, Online Analytical Processing, Online Transaction Processing, Standard Sql, Privacy Controls, Data Layers, Data Analytics, Apache Kafka, Vertica, Data Pipelines - **Published:** July 19, 2026 - **Apply:** https://nl.indeed.com/viewjob?jk=d3ff786837352624 ## About the Role * 4+ years of experience in data engineering. * Strong SQL and Python skills. * Experience with analytics databases (ClickHouse preferred) and streaming pipelines (Kafka). * Strong data modelling skills across OLTP and OLAP systems. * Experience building KPI/metric layers and working with analytics sources such as PostHog. * A strong understanding of privacy engineering and GDPR requirements. ## Description You will build and operate the data foundation that powers Saga's next generation of analytics capabilities. Your work will turn product usage, customer data, and operational signals into reliable insights that help law firms understand value, improve decision-making, and get more out of Saga. You will take our proven data pipelines from POC to production scale, building the systems that support analytics across our growing customer base. This includes designing scalable ingestion flows, creating trusted data models and metrics, and ensuring the right balance between powerful insights and strict privacy standards. As part of the Amplify Platform team, you will have ownership over critical parts of our analytics infrastructure - from event pipelines and profile data to KPI computation and the data layers powering dashboards, product features, and intelligent experiences. What you'll be doing * Build and scale data pipelines for product events, usage data, and customer datasets. * Develop analytics infrastructure using technologies like Kafka, ClickHouse, and PostgreSQL. * Own data models, KPI definitions, and metric layers powering dashboards and product features. * Build reliable ingestion processes for both structured and messy customer-provided datasets. * Ensure privacy-first data practices through anonymisation, pseudonymisation, and tenant-level controls. * Collaborate with engineering and product teams to make data accessible, trusted, and actionable., We're a team of lawyers, engineers, designers, and builders across multiple countries, with a startup mindset - flexible, fast-moving, and focused on what matters. We don't believe in rigid structures or unnecessary processes, but we do believe in discipline: showing up consistently, following through, and holding ourselves to a high standard. Outside of work, many of us are active in sports - running, skiing, hiking - not as a mandate, but because we're drawn to the same mindset sport builds: consistency, resilience, and a long-term view. 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