Data Engineer

Guzco; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Guzco is assembling a founding data engineering team in Amsterdam. You will architect and own the data platform, ingesting, storing, and processing massive real-time and batch data to power risk models for e-commerce logistics.

You will partner with data scientists and the founding team to build scalable, reliable data products, and to implement MLOps and data-serving infrastructure. Join a small, ambitious team building core product capabilities.

Qualifications

• 4+ years of experience in data engineering, platform engineering, or MLOps.
• Proficient in Python and SQL with experience in data architecture and data modeling.
• Hands-on with cloud data platforms and modern cloud infra (GCP, Kubernetes).

Responsibilities

• Own the data engineering roadmap end to end.
• Define and drive data engineering and MLOps roadmaps with the founding team.
• Build, scale, and maintain data ingestion and processing pipelines.

Skills

Python

SQL

Data architecture

ETL/ELT

Data modeling

Tools

Kafka

Beam

GCP

Kubernetes

Cloudflare

Job description

Amsterdam, Netherlands Full-time Founding team

About the team

The alarm system for e-commerce operations.

Our mission is to detect and disrupt the risks - from delivery fraud to "Item Not Received" (INR) claims - that create friction between merchants, carriers, and 3PLs. We sit at the intersection of e-commerce, logistics, and fraud, turning massive, complex data streams into the clear-cut intelligence our clients need to operate safely.

We're currently a lean, high-impact pod building our entire risk-detection brain. We are now looking for a foundational member: the Data Engineer who will build and own the infrastructure that powers our intelligence.

About the role

Architect of our entire data platform.

As our Founding Data Engineer, you will be the architect of our entire data infrastructure. This isn't a role for maintaining legacy pipelines - this is a greenfield opportunity to build our data platform from the ground up.

You will be the strategic partner to our Data Scientist and the founding team, defining how we ingest, store, and process massive volumes of data at scale. Your challenge is to take raw, real-time, and often messy data from carriers and merchants and build the clean, reliable, and high-performance data products that our models and our team will run on.

You are the one who will build the best infrastructure for our team, enabling us to move faster and build smarter than anyone else in the industry.

In this role, you will

Own it end to end.

Own the data engineering roadmap

Define and drive the entire data engineering and MLOps roadmap in close partnership with the founding team.

Build for scale

Design, build, and own our data ingestion and processing pipelines, capable of handling millions of real-time events.

Architect the foundation

Build the data warehousing and data-lake solutions that will be the single source of truth for our risk models.

Empower the team

Partner with our Data Scientist to build the MLOps and data-serving infrastructure they need to build, deploy, and monitor models.

Build durable systems

Go beyond notebooks. Own production systems, data quality, and reliability. You'll be the goalie for our data's integrity.

Automate everything

Build clean, automated, and observable systems that are a pleasure to work with.

You might thrive here if you

Sound like this.

4+ years of experience in data engineering, platform engineering, or MLOps, preferably in a high-stakes, high-volume environment.

Fluent in Python and SQL with deep experience in data architecture, ETL/ELT, and data modeling.

Hands-on experience with cloud data platforms (especially GCP), stream processing (e.g., Kafka, Beam), and modern cloud infrastructure (e.g., Kubernetes, Cloudflare).

Obsessed with reliability and performance. You get energized by making a complex system fast, clean, and unbreakable.

A builder who shows, not tells. You prove how good you are by shipping elegant, working solutions.

Thrives on autonomy and ownership. You want guidance, not guardrails.

A listener and a collaborator. You know the best ideas come from group conversations and you're eager to build a common vision with a small, brilliant team.

About Guzco

Small team. Hard problems.

We are a small team of passionate, curious people dedicated to solving hard problems. Our culture is our foundation.

We hire the best and let them work

We give you the freedom, trust, and tools to build end-to-end solutions.

We're critical thinkers who obsess over the details. The best solution is rarely the first one.

We are partners, not resources

Everyone talks to everyone. Your voice and your ideas are critical from day one.

No bureaucracy

We are building the best infrastructure for our team to create their best work.

Ready to build?

If you are a curious, resilient builder who wants to own a core part of a new product, we would love to talk.