Software Engineer - Data Platform

Software Engineer - Data Platform

📍Amsterdam, Netherlands

💼 Hybrid, Full-time

💰 Competitive salary

🌍 EU-based candidates

About the Company

This organisation builds cutting-edge AI tools that help some of the world’s most advanced growers operate smarter, faster, and more sustainably. Their technology tackles the real-world complexity of high-tech greenhouses by turning biological systems, climate conditions, and massive data streams into clear, actionable intelligence.

They move quickly, think boldly, and focus on engineering that makes a visible impact on global food production.

The Role

They are hiring a Software Engineer to take ownership of the data platform that powers their AI products. This role sits at the heart of the engineering organisation: designing a world-class Databricks/dbt setup, shaping technical strategy, and building the systems that every other team depends on.

It’s ideal for someone who enjoys mixing backend engineering with high-impact data platform work and wants influence, autonomy, and room to build things properly.

You’ll Be:

• Setting the direction and architecture of the Databricks environment.
• Building robust pipelines and data foundations with Python, Spark, SQL and dbt.
• Creating the tooling, automation, and documentation that accelerate the entire engineering team.
• Contributing to core backend platform services written in Golang and gRPC.
• Defining best practices in data modelling, testing, and CI/CD across the company.
• Mentoring engineers and driving technical decisions that shape the platform’s future.
• Developing secure cloud modules for enterprise customers to access their data safely.

You’ll Bring:

• 4+ years of experience building and operating production-grade systems.
• Strong background in data engineering or backend development, with interest in both.
• Hands-on experience with Databricks or Snowflake.
• Strong Python and/or Golang skills.
• Experience leading technical initiatives or mentoring teammates is a plus.
• Familiarity with AWS and modern data tooling.

Tech Environment:

Golang, Python, Typescript, React, Next.js, gRPC, GraphQL, Databricks, Delta Lake, S3, dbt, PostgreSQL, TimescaleDB, MongoDB Atlas, Dagster, AWS (ECS, Lambda), Docker, Vercel, Datadog.

Benefits:

• Hybrid working model with office 2 days per week
• Competitive salary
• Paid lunch
• Pension contribution
• Mental well-being support through OpenUp
• MacBook Pro 16”
• Travel allowance
• Annual learning budget
• Work-from-home budget
• Quarterly company events

A strong opportunity for an engineer who wants ownership, enjoys solving complex real-world problems, and is energised by building the data platform behind industry-shaping AI.