
Data Engineer
PTV Logistics
full-time
Posted on:
Location Type: Remote
Location: Poland
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About the role
- Work as part of a specialized data engineering team that supplies our logistics planning and optimization products with high‑quality geographic and non‑geographic data, with a focus on data from toll systems.
- Take responsibility for collecting, analyzing, preparing, and processing large datasets using modern Geographic Information Systems (GIS) and automated, cloud‑based data processing pipelines.
- Ensure data accuracy and timeliness by applying automated validation mechanisms as well as targeted manual quality assurance processes.
- Collaborate closely with data engineers and software developers who operate and continuously enhance our data processing environment.
Requirements
- University degree in a technical field (e.g., Geoinformatics, Computer Science) or equivalent vocational training such as Geomatics Technician or IT Specialist in Data and Process Analysis, combined with relevant practical experience.
- Practical knowledge of QGIS, strong SQL skills, and experience with relational databases such as PostgreSQL/PostGIS.
- High attention to detail and a structured, quality‑focused approach when working with data that directly influences customer‑facing products.
- Basic understanding of road graphs and routing‑related map attributes; experience with Python is a plus.
- Strong team orientation, open communication style, and solid proficiency in written and spoken English.
Benefits
- About | Careers | Benefits (EN) | PTV Logistics
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Geographic Information Systems (GIS)SQLPostgreSQLPostGISdata processingdata analysisdata preparationdata validationPythondata quality assurance
Soft Skills
attention to detailstructured approachteam orientationopen communicationquality-focusedwritten communicationspoken communication
Certifications
University degree in GeoinformaticsUniversity degree in Computer ScienceGeomatics TechnicianIT Specialist in Data and Process Analysis