Solution Delivery Engineer

Planet designs, builds, and operates the largest constellation of imaging satellites in history.

• The team you will be joining develops, maintains, and upgrades the suite of Area-Monitoring Markers that extract insights from satellite data time series — the central element of the Area Monitoring System (AMS) solution delivered to Common Agricultural Policy paying agencies across Europe.
• We are looking for a Solution Delivery Engineer to support the operational execution of our large-scale AMS deliveries in several EU countries. In this role you will be responsible for running and overseeing complex geospatial processing pipelines — from preparing Planet and other satellite data and integrating reference data, through configuring and maintaining signal processing, to fine-tuning marker services.
• This is a hands-on operational role with direct contractual impact: you will own delivery timelines, sometimes negotiating them directly with the client, and you will continuously look for opportunities to simplify, automate, and optimize the workflows that make these deliveries possible.
• This is a full-time, temporary position (12 months), with possibility of extension or conversion. This is a hybrid role which will require you to work from our Ljubljana, Haarlem, or Graz office 3 days per week.

• 4+ years of relevant work experience.
• Bachelor's degree in a relevant field.
• Solid working knowledge of the GIS domain — comfortable reasoning about geospatial data, projections, raster/vector workflows, and satellite imagery.
• Operational mindset: comfortable executing, monitoring, and troubleshooting complex multi-step pipelines, with attention to detail and a sense of ownership over outcomes.
• Awareness of and respect for delivery deadlines, with the ability to communicate timelines and trade-offs clearly to both internal teams and external clients.
• Curiosity about how processes work end-to-end, and a habit of looking for ways to simplify, automate, or optimize them.
• Highly technical mindset — comfortable picking up new tools, reading logs, and reasoning about data flows across services.
• Cross-functional collaboration skills — able to work effectively with data scientists, developers, and client stakeholders.
• Professional working proficiency in English, the language of the company.
• Experience with Python programming, particularly for data processing or geospatial workflows.
• Familiarity with the agricultural domain or the EU Common Agricultural Policy (CAP) and area-based payment schemes.
• Experience with Earth Observation data (Planet, Sentinel-2, Sentinel-1) and time-series analysis.
• Familiarity with cloud-based data processing, workflow orchestration, or pipeline tooling.
• Prior experience interacting with clients on technical delivery topics.
• These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
• Paid time off including vacation, holidays and company-wide days off
• Employee Wellness Program
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to Linked In Learning