Solution Delivery Engineer

NextGenEnergyJobs; Österreich; Hybrid; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Paid time off

Employee Wellness Program

Home Office Reimbursement

Monthly Phone and Internet Reimburse

Tuition Reimbursement/LinkedInLearning

Equity

Zusammenfassung

Planet designs, builds, and operates the largest constellation of imaging satellites. We are hiring a Solution Delivery Engineer to support operational AMS deliveries across Europe.

You will own delivery timelines, run complex geospatial processing pipelines, and work with data scientists, developers, and clients to simplify and automate workflows. This is a full-time, 12-month hybrid role located in EU offices (Ljubljana, Haarlem, or Graz).

Qualifikationen

• 4+ years of relevant experience in geospatial delivery or similar roles.
• Strong GIS domain knowledge including projections and raster/vector workflows.
• Hands-on experience with Python for data processing and geospatial tasks.
• Proven ability to manage delivery timelines and communicate with clients.
• Experience with Earth Observation data (Planet, Sentinel) and time-series analysis.
• Experience with cloud-based data processing and workflow orchestration.
• Ability to work with data scientists, developers and clients across Europe.
• Proficient English communication with stakeholders.

Aufgaben

• Run and oversee complex geospatial processing pipelines end-to-end.
• Prepare, configure, and maintain signal processing for marker services.
• Coordinate with data scientists, developers and clients to ensure timely delivery.
• Identify opportunities to automate and optimize workflows.

Kenntnisse

Geospatial data

Python programming

Earth Observation

Time-series analysis

Client engagement

Cloud workflows

English communication

Cross-functional collaboration

Jobbeschreibung

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

Key Responsibilities

• 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 (12 months), hybrid role which will require you to work from our Ljubljana, Haarlem, or Graz office 3 days per week.

Requirements

• 4+ years of relevant work experience.
• 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.
• Ability to communicate in English, the working 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 LinkedIn Learning
• Equity
• San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
• Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
• Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to [e-mail] or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
• AI in Our Interviewing Process : Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.
• Candidate AI Policy : Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact [e-mail] with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.