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TRACT BV in Amsterdam, Netherlands, is seeking a Senior Data Engineer to shape our insights platform. You will design and implement scalable data pipelines and APIs, collaborating with cross-functional teams to translate business needs into reliable backend solutions.
You will focus on performance, data integrity, and security, guiding the data engineering effort from specification to deployment. You will mentor teammates and drive best practices in a small, diverse team.
TRACT BV—Amsterdam, Netherlands (Hybrid)
At TRACT, we are building a more sustainable and resilient food and agriculture industry. Our mission? To remove the burden of data management and resolve the debate onmethodologyso companies can drive impact. With our SaaS platform, we empower organizations to focus their resources on making a real impact while driving positive change in the industry.
We are a diverse and passionate team of about 40, committed to creating a sustainable impact and technological innovation. We believe in the power of collaboration and leverage our collective expertise to tackle complex challenges and drive meaningful change. Our cultural heartbeat & business decisions are shaped by our core values: 'Accept the challenge', 'Commit to learn', 'Authentic & accountable', 'Make momentum', & 'Simplify & ship.' These ensure that every team member can thrive and make a difference.
As a Senior Data Engineer at TRACT, you will play a pivotal role in shaping the architecture, design, and implementation of our insights platform. Leveraging your expertise in Data development, you will lead the technical design and implementation of scalable and reliable data pipelines and APIs. Working closely with cross-functional teams, you will translate business requirements into efficient and maintainable backend solutions, optimizing performance while ensuring data integrity and security.
We build using spec-driven development. In practice, that means the specification comes before the code: you write it, the team reviews it, and an agent implements against it. Your name is on both the spec and the commit.
This changes where your time goes. Less of it on typing implementation, more on requirements, system design, acceptance criteria, and review. We don't ship code we don't understand.
This role offers an exciting opportunity to build solutions that are shaping the future of agriculture and food sustainability.
You have a Bachelor's degree in Computer Science, Engineering, or equivalent. Master's degree is a plus.
You bring 7+ years of experience in data engineering (with 2+ years as a Senior Engineer), with a strong focus on developing scalable data pipelines, APIs, and backend systems.
You have strong proficiency in Python and experience working with a tech stack similar to ours: FastAPI, Airflow, BigQuery, PostgreSQL, and Terraform. Experience with Google Cloud data pipeline services, and streaming data tools is a plus.
You have experience in data integration techniques, including EL, ETL, and ELT, ensuring seamless data flow and transformation.
You have a strong grasp of software design principles and architectural patterns, with familiarity in data architectures such as Data Lakes and Data Warehouses - ensuring efficient storage, processing, and retrieval of both structured and unstructured data.
Knowledge of Data Management and Governance is a plus, ensuring compliance, security, and best practices in handling data.
You're already working with AI coding tools and have opinions about where they help and where they quietly create debt.
You're an effective communicator and mentor, able to lead and collaborate within teams.
Familiarity with geospatial analytics, including processing raster and vector datasets, performing spatial aggregations, and supporting visualization workflows in data pipelines.