Sr. Software Engineer (Data & Platform)

Seqana; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Remote-friendly

Flexible hours

Hardware provided

Team events

Zusammenfassung

Seqana seeks a senior software engineer to lead the evolution of infrastructure that turns research into auditable climate results. You will own the platform taking data, models, and estimation methods from R&D to client deliverables, and guide software and data engineers while shaping geospatial pipelines.

You will design and run data-intensive systems, mentor engineers, and collaborate with data scientists to ensure robust, reproducible infrastructure.

Qualifikationen

• 6+ years of experience designing and running data-intensive backend systems
• Strong track record of end-to-end ownership and design reviews
• Expertise in Python and SQL for production systems
• Hands-on with workflow tooling and data versioning

Aufgaben

• Own the platform that turns research data and models into auditable client deliverables
• Shape geospatial workflows and scale vector/raster data processing
• Mentor engineers and drive design reviews across software and data teams
• Define architectures, write design docs, and align infra goals with the company
• Collaborate across data science, software engineering, and solutions engineering

Kenntnisse

Python

SQL

Architectural design

Mentoring

Communication

Ausbildung

Bachelors in Software Engineering/Computer Science

Tools

Airflow

Dagster

Terraform/OpenTofu

GCP

Docker

Jobbeschreibung

The Role:

Our growing team is looking for a senior software engineer to lead the evolution of the infrastructure that turns our science into trustworthy climate results. In this role, you'll own the platform that takes our data, models and estimation methods from R&D to auditable client deliverables, and you'll be a trusted reviewer and guide across software and data engineering. As a small team, you'll also shape how we build our geospatial pipelines and internal analytics.

We're looking for someone who has designed and run data-intensive systems in production, makes sound architectural calls, and raises the bar for the engineers around them. You'll work closely with fellow software and data engineers, data scientists and solutions engineers, turning research code into robust, reproducible infrastructure. You will join a cross-functional, mission-driven team dedicated to bringing transparency and integrity to climate action.

Impact you’ll own:

• Shorten the path from experiment to production: own how models and estimation features move from research into reproducible, auditable client deliverables, with data, models and environments versioned end to end.




• Own our developer platform and engineering standards: environments, containers, project templates, CI/CD and pipeline orchestration across a multi-repo Python stack.




• Own our GCP infrastructure: architecture, infrastructure-as-code, monitoring, cost and access management, and its evolution as the company grows.




• Shape our geospatial workflows: how we store and process vector and high-resolution raster data at scale, and how the databases behind our models and deliverables evolve as we scale.




• Be the key reviewer for core and pipeline infra: write design docs for your own areas and review those of others, keeping our architecture coherent as the team grows.




• Raise the bar across engineering: mentor other engineers, and support our software & data engineering team with feedback and guidance on design and architecture.




• Over time, coordinate our infrastructure development goals: set priorities and align work across software and data engineering.

What you bring:

• 6+ years of experience in engineering roles, including significant time designing and running data-intensive backend systems and pipelines in production




• A track record of owning systems end to end: you've made architectural decisions and lived with their consequences, written and reviewed design docs, and mentored other engineers




• Expert Python and strong SQL, with solid experience designing schemas and data models for production systems




• Hands-on experience with workflow and pipeline tooling (e.g. Airflow, Dagster), experiment tracking and data versioning




• Hands-on experience running production cloud infrastructure, ideally GCP; infrastructure-as-code (e.g. Terraform/OpenTofu), IAM, as well as containers and reproducible environments (e.g. Docker, devcontainers)




• Deep experience across the software development lifecycle (Python packaging, containers, testing strategies, CI/CD, observability) and opinions on how to do it well




• Clear, direct communication with both technical and non-technical colleagues, and strong motivation to contribute to sustainable development through technology




• A degree in Software Engineering, Computer Science, or equivalent practical experience

What makes you stand out:

• Production experience with raster data and geospatial pipelines




• Experience building model serving, model registries or other MLOps tooling (e.g. DVC, MLFlow)




• Experience building BI or dashboarding tooling (e.g. Streamlit) for non-technical users




• Experience with data warehouse design (e.g. BigQuery, PostgreSQL, dbt) and data engineering workflows




• Previous exposure to earth observation, environmental monitoring or soil science data

Benefits you can expect:

• Real ownership and influence over technical direction at an early-stage company




• Be part of a highly motivated, committed, and international team working on one of society’s biggest challenges: climate change




• Witness and shape the evolution of a new business being built




• An engineering culture built on designs docs, thoughtful code reviews and shared practices




• Remote-friendly: up to 4 days/week remote when based in Berlin, or fully remote from elsewhere in Germany, with flexible hours




• Drinks, snacks, team events, and your choice of hardware