Staff Data Engineer: Scale Geospatial Pipelines

Overstory; France; Remote; EUR 150,000 - 210,000; Full time

Benefits offered by this job

Home office stipend

Flexible working environment

Education budgets

Competitive compensation

Job summary

Overstory is seeking a Staff Data Engineer to lead the design and scaling of a data platform powering AI-driven vegetation analysis. You will own architecture, mentor engineers, and set standards for pipelines, data quality, and observability across a globally distributed team.

You'll partner with data, ML, and product engineers to balance pragmatic delivery with durability, tracing, and scalable data contracts, shaping the next generation of our data infrastructure.

Qualifications

• 10+ years designing and building production-grade data pipelines.
• Deep hands-on Dagster experience in production environments.
• Strong Python and Google Cloud skills.
• Experience with Pub/Sub and event-driven patterns.
• Experience designing service-oriented architectures and data contracts.
• Mentor engineers and lead architectural discussions.
• Experience in remote-first, globally distributed teams.

Responsibilities

• Architect and evolve the orchestration layer for scalable pipelines.
• Design production data pipelines for geospatial and temporal data.
• Lead system design across the data platform and define boundaries and contracts.
• Drive service-oriented architecture and decouple components for independent deployment.
• Build event-driven workflows with durable messaging patterns.
• Establish observability, testing, and data quality frameworks.

Skills

Dagster

Python

Google Cloud

Pub/Sub

Distributed systems

Data pipelines

Service-oriented architecture

Data quality

Observability

Mentoring

Tools

Dagster

BigQuery

Airflow

Job description

Overstory is seeking a Staff Data Engineer to lead the design and scaling of a data platform powering AI-driven vegetation analysis. You will own architecture, mentor engineers, and set standards for pipelines, data quality, and observability across a globally distributed team.

You'll partner with data, ML, and product engineers to balance pragmatic delivery with durability, tracing, and scalable data contracts, shaping the next generation of our data infrastructure.