Data Engineer

Quintall; Maasdijk; On-site; EUR 50,000 - 67,000; Full time

Benefits offered by this job

29 days annual leave

8% holiday pay

Ownership of platform architecture

Direct impact on greenhouse tech

Job summary

Ridder is seeking a Data Engineer to own the complete data lifecycle for our climate control platform powering greenhouse decisions worldwide. You will design scalable pipelines, ensure data quality, and enable data scientists and engineers with trusted datasets.

This role focuses on building a robust data foundation rather than dashboards, with ownership of data contracts, time-series data, and production ML workflows in a cloud-native environment.

Qualifications

• 5+ years of experience building production-grade data platforms and pipelines.
• Strong Python and SQL skills.
• Experience with time-series, IoT, or high-volume data environments.
• Experience with cloud platforms, containers, CI/CD, and infrastructure as code.
• Ownership mindset with focus on reliability and quality.
• Experience operating ML models in production: training pipelines, registries, monitoring.

Responsibilities

• Design and operate scalable data pipelines and time-series data platforms.
• Define data contracts, quality standards, and versioned schemas across the platform.
• Enable data scientists and software engineers with trusted datasets and feature pipelines.
• Help build and grow the data engineering capability within the team.
• Run the models in production: scheduled training, batch inference, model registry, deployment and monitoring.
• Orchestrate the platform's scheduled jobs — ingestion, validation, training data, model runs, evaluation

Tools

Dagster

Airflow

Prefect

Job description

At Ridder, we're developing a next-generation climate control platform that helps growers make better decisions and optimize crop production. This is not an analytics role. You will build and own the data foundation that powers forecasting, automation, and data-driven climate control in greenhouses around the world.

You'll work at the intersection of software engineering, IoT, and data platforms. From sensor data and weather forecasts to model training datasets and system telemetry, you ensure the data is reliable, traceable, and ready for action.

What you'll do

As our Data Engineer, you will own the complete data lifecycle and help shape the architecture of our platform.

Your main responsibilities:

• Design and operate scalable data pipelines and time-series data platforms.
• Define data contracts, quality standards, and versioned schemas across the platform.
• Enable data scientists and software engineers with trusted datasets and feature pipelines.
• Help build and grow the data engineering capability within the team.
• Run the models in production: scheduled training, batch inference, model registry, deployment and monitoring.
• Orchestrate the platform's scheduled jobs — ingestion, validation, training data, model runs, evaluation

What makes this role different?

You won't be building dashboards or reporting solutions.

You will work on a technology platform where data quality directly impacts real-world outcomes. Every dataset, validation rule, and pipeline contributes to better climate control decisions for growers worldwide.

What we're looking for

You bring:

• 5+ years of experience building production-grade data platforms and pipelines.
• Strong Python and SQL skills.
• Experience with time-series, IoT, industrial, or other high-volume data environments.
• Experience with cloud platforms, containers, CI/CD, and infrastructure as code.
• A strong ownership mindset with a focus on reliability, quality, and continuous improvement.
• Experience with a workflow orchestrator (Dagster, Airflow, Prefect or similar).
• Experience operating ML models in production: training pipelines, registries, scheduled inference, monitoring.

Nice to have

• Experience with weather, energy, industrial, or agricultural data.
• Familiarity with real-time systems and operational technology environments.

Why Ridder?

• Work on a unique challenge that combines technology, sustainability, and food production;
• A gross monthly salary between €4.500,- to €6.000,-;
• 29 days of annual leave plus 8% holiday pay;
• Influence key architectural decisions in a growing platform;
• Real ownership and direct impact on the future of greenhouse technology.