Software Engineer - Data Platform

Ai.
Amsterdam, Netherlands
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
€ 7.5K

Job location

Amsterdam, Netherlands

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Information Engineering
Python
PostgreSQL
MongoDB
Next.js
TypeScript
Working Model 2D
Datadog
React
Snowflake
Backend
Data Lake
GraphQL
gRPC
Docker
Databricks
Go

Job description

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.

Requirements

  • 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 & conditions

  • 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.

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.

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