Software Engineer - Data Platform - English
Amsterdam 71K - 90K Permanent
Job Reference: Sag
Software Engineer - Data Platform
đź“ŤAmsterdam, Netherlands
đź’Ľ Hybrid, Full-time
đź’° 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 with a clear data background 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.
Attention: Candidates need a clear background in data modelling and data engineering. If you do not have this experience, please check other roles.
Tech Environment:
Databricks, Golang, Python, Typescript, React, Next.js, gRPC, GraphQL, 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.
