Senior Software Engineer (Data & Platform)

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

Benefits dieser Stelle

Remote-friendly

Flexible hours

Team events

Drinks and snacks

hardware of your choice

Zusammenfassung

Seqana GmbH is seeking a senior software engineer to lead the evolution of the infrastructure that turns science into auditable climate results. You will own the platform that turns data, models and estimation methods into reproducible client deliverables and guide the engineering team in design and architecture.

You will design and run data-intensive backends, mentor engineers, and shape how we build geospatial workflows while collaborating with data scientists and solutions engineers.

Qualifikationen

• 6+ years of experience in engineering roles, including significant time designing and running data-intensive backend systems and pipelines in production
• Own systems end-to-end: architectural decisions, design docs, and mentoring 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 (Airflow, Dagster), experiment tracking and data versioning
• Hands-on experience running production cloud infrastructure, ideally GCP; infrastructure-as-code (Terraform/OpenTofu), IAM, as well as containers and reproducible environments (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

Aufgaben

• Own the path from research to production: move models and features into auditable client deliverables
• Own our developer platform and engineering standards: environments, containers, templates, CI/CD and pipelines
• Own our GCP infrastructure: architecture, IaC, monitoring, cost and access management
• Shape geospatial workflows: storage and processing of vector and high-resolution raster data at scale
• Be the key reviewer for core and pipeline infra: write and review design docs
• Mentor other engineers and guide the software & data engineering team
• Coordinate infrastructure development goals across software and data teams

Kenntnisse

Python

SQL

CI/CD

Observability

Communication

Team leadership

Ausbildung

Bachelor's in Software Engineering or Computer Science

Tools

Airflow

Dagster

Terraform

OpenTofu

Docker

GCP

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