About Source.ag
At Source.ag, we are on a mission to empower the world's growers with AI to sustainably feed a growing global population. The world's leading growers use our SaaS products to optimize their operations, improve yields, and increase resource efficiency. We don't just sell software; we build deep partnerships with our customers to solve some of the most fundamental challenges in the global food supply chain.
This is not a typical software problem. We are modeling the complex reality of a high-tech greenhouse and translating it into actionable intelligence. If you are excited by the challenge of using technology to solve real-world problems at a global scale, this is the place for you.
What you'll do
As a Data Engineer on our Platform team, you will be responsible for building, maintaining, and exposing to users one of the biggest agricultural datasets in the world. The Platform team's mission is to accelerate all other product teams by providing robust, scalable, and easy-to-use infrastructure, common components, and a world-class data platform.
As our subject-matter expert in data engineering, you will be instrumental in leading the vision, architecture, and development of our data ingestion pipelines, ensuring they flow correctly into our live systems and our Databricks environment. You will also be responsible for making this data accessible and usable for both internal data scientists, development teams, and external customers. A key early project will be building out our "Cloud Modules," which allow our enterprise customers to securely access their data for their own BI and analysis.
In this role, you will
- Establish strong foundations and guardrails that empower other engineers and data scientists to confidently build and maintain high-quality data assets using Python, Spark, dbt, and SQL.
- Define and evolve the technical direction of our Databricks platform, applying your data engineering expertise to ensure it evolves with the needs of our product teams.
- Establish and champion data engineering best practices, including data modeling, testing, and CI/CD, for our data stack.
- Build shared tooling, automation, and documentation to streamline onboarding, improve productivity, and promote consistent use of the platform.
- Contribute to our core platform services, written in Golang and using gRPC, that provide capabilities and data to other services and our customers.
What makes an engineer successful at Source.ag
We are looking for pragmatic system builders who thrive on solving complex problems. We value a specific mindset over a list of keywords.
We believe you'll be successful if you
- Have a "Problem-First" Mindset:
When faced with a request, your first instinct is to ask, "What is the underlying problem we are trying to solve?" You are driven to find the most efficient solution to the root cause.
- Take High Ownership:
You feel a deep sense of accountability for your work. You see projects through to completion and are proactive about identifying and fixing issues.
Our way of working
We are a high-performance team on a mission to solve a massive global challenge. This means we move fast, embrace change, and are constantly learning. Our environment is for builders who thrive on autonomy and are energized by seeing their work create a direct impact. We value velocity and pragmatism over bureaucracy. If you are driven by learning, taking ownership, and want to be part of a team where your contributions truly matter, you will find a home here.
AI at Source.ag: how we build
AI is core to how we operate and what we build. We equip our engineers with the best tools available, such as
Cursor
and
OpenAI's latest models
, to accelerate development. If you are excited by the opportunity to apply modern AI and LLMs to a unique, real-world dataset to solve complex problems, you will be right at home here.
If you are a builder who wants to make a tangible impact on a global scale and are excited by the challenge of solving hard problems, we would love to hear from you.
Job requirements
- Proven relevant work experience building and operating production systems (typically 4+ years), with a strong focus on either backend or data engineering, and a demonstrated interest in the other.
- Hands-on experience designing, building, and operating modern data platforms. You bring experience-based opinions on how to build them well. Expertise with Databricks or Snowflake is essential.
- Strong proficiency in Python and/or Golang.
- Experience mentoring other engineers or leading technical projects is highly desirable.
- Familiarity with cloud platforms, preferably AWS
Our tech stack
- Backend: Golang, Python
- Frontend: Typescript, React, Next.js
- Communication: gRPC, GraphQL, REST, AWS EventBridge/SNS/SQS
- Data: Databricks, Delta Lake, S3, dbt, PostgreSQL (RDS), TimescaleDB, MongoDB Atlas, Dagster
- Infrastructure: AWS (ECS, Lambda), Docker, Vercel
- Monitoring: Datadog
Our offer in return for your talent and skills
- A hybrid work environment - we have working days at the office on Mondays and Thursdays
- Paid lunch
- Pension contribution of 4.5%
- Mental well-being guidance through OpenUp
- MacBook Pro 16”
- Travel allowance for office commute
- Annual learning budget of € 1,000
- Work from home budget of € 550
- Monthly wifi & phone plan reimbursement of €50
At Source, we highly value diversity of backgrounds and thoughts. Research has shown that people make different internal assessments of whether they are a good fit for the job. We therefore highly encourage you to apply for this job, even if you feel you might not 'tick all the boxes!
Note to recruitment agencies:
We do not appreciate unsolicited outreach or external acquisition regarding our open roles. Please refrain from contacting us about these vacancies. Thank you.
