DataOps Engineer

Welcome To Space!

We are serving government agencies across Europe by monitoring agricultural parcels on a country-wide scale. Our data pipelines connect sensitive data and machine learning results to populate frontend applications and BI tools.

You’ll be a vital part of our Agri-Environmental Monitoring Solutions team, helping us implement and automate data processing pipelines, build and optimize Argo workflows, and maintain the underlying cloud deployments (IaC, GitOps). This role combines data engineering with DevOps, and you'll work closely with our product owner and GIS engineers on delivering continuous value to our clients.

• You are open to working in a remote environment, mostly meeting your team colleagues in virtual meetings (in-person team days twice per quarter, Vienna office open every day)
• You contribute to the crafting and execution of quarterly team objectives from your own perspective, led by the team lead

Responsibilities:

• Write and own data pipelines using Django models in Python
• Load data into PostgreSQL databases and sqlite/zarr archives 
• Automate data pipeline orchestration for deliveries to government agencies
• Automatically validate data as early as possible (shift-left philosophy)
• Configure data viewers 
• Set up, maintain, and improve cloud deployments of backend and frontend applications using GitOps principles
• Update cloud infrastructure software (e.g. Kubernetes, IaC)
• Set up, maintain and improve CI/CD pipelines
• Create alerts for long-term SLAs and adapt cloud resource allocation accordingly

• New Features

• Maintenance, Bugfixing

• Client Support

• Documentation

• Organisation

• Meetings