małopolskie / Kraków
Senior GIS Tools Specialist
2026-10-18
Kraków
Work model: 100% on-site
What we do
At Cognizant, we partner with the worlds leading companies to shape their digital future - not just adopting technology but truly becoming digital at their core.
In Poland, were present in Kraków, Gdańsk, and Wrocław, offering exciting opportunities for both experienced professionals and fresh graduates. Expect world-class training, a clear path to grow your career, and benefits that make a real difference.
Ready to make an impact? Be Cognizant.
About the role
This position involves the creation and maintenance of systems and processes aimed at ensuring data excellence and supporting the operations of flagship Geo offerings, with a focus on the main mapping product. Serving as a technical consultant, the Senior GIS Tools Specialist helps with the transition of tools to production while shaping the development roadmap for operational workflows.
What we do
At Cognizant, we partner with the worlds leading companies to shape their digital future - not just adopting technology but truly becoming digital at their core.
In Poland, were present in Kraków, Gdańsk, and Wrocław, offering exciting opportunities for both experienced professionals and fresh graduates. Expect world-class training, a clear path to grow your career, and benefits that make a real difference.
Ready to make an impact? Be Cognizant.
About the role
This position involves the creation and maintenance of systems and processes aimed at ensuring data excellence and supporting the operations of flagship Geo offerings, with a focus on the main mapping product. Serving as a technical consultant, the Senior GIS Tools Specialist helps with the transition of tools to production while shaping the development roadmap for operational workflows.
Responsibilities
- Analysis and troubleshooting of software and tool issues: Lead the identification and resolution of intricate, cross-functional issues found within products or tools,
- Be the technical expert: Advise Geo teams and managers, removing technical hurdles and solving major user problems,
- Work with engineering teams: Help define how to report and track bugs, ensuring critical issues are fixed quickly and communicated clearly to leadership,
- Manage tool updates: Plan and coordinate when new tools and updates are released, while checking for potential risks,
- Lead testing: Create testing plans for new features and fixes to make sure they are ready for global use,
- Write code: Regularly write high-quality code for tools and set standards for how others should code,
- Build new tools and integrations: Design and launch new tools and dashboards that help teams work more efficiently, integrating RESTful endpoints, APIs, and protocols (e.g., MCP) to interface with backend services,
- Implement AI solutions: Strategically deploy and integrate AI-based solutions to enhance existing tools and drive new operational efficiencies,
- Solve global tech issues: Provide technical solutions for complex software problems on Linux,
- Manage advanced support: Create and run the process for handling technical bugs and performance issues, making sure to find and fix the root causes,
- Spatial ETL Automation: Design and maintain automated spatial data translation workflows using FME,
- Geospatial Platform Administration: Administer enterprise GIS services, spatial databases, and feature layers across the ArcGIS Enterprise environment to support operational tools,
- Own end-to-end tool lifecycle & delivery: Lead requirements gathering, technical architecture, milestone delivery, and user adoption across operations and engineering teams,
- Architect advanced AI solutions for data operations: Design and deploy multi-agent workflows, RAG systems, and autonomous reconciliation pipelines to automate data ingestion, policy validation, and cross-source anomaly detection,
- Drive observability & Root Cause Analysis (RCA): Lead post-mortems and preventative engineering for critical tool outages, data ingestion failures, and operational SLA/SLO breaches.
Requirements
- 5-6 years experience in a similar domain, specifically working with large-scale geographic data products,
- Advanced GIS experience, including spatial analysis and data pipeline integration (ArcGIS Desktop/Server preferred),
- Advanced GIS experience with ESRI Enterprise, ArcGIS Desktop/Server, spatial data pipelines, and FME-based solutions,
- Intermediate to Advanced proficiency in Python,
- Intermediate to Advanced proficiency in SQL,
- JavaScript and/or other relevant front-end/tooling languages is required,
- AI Familiarity (intermediate), understanding prompt engineering, Cloud/CLI, proven record of implementing AI solutions. Senior roles require AI, Cloud,
- Working knowledge of modern AI capabilities (e.g., LLM APIs, retrieval-augmented generation, and orchestration frameworks) to identify automation opportunities and evaluate product feature feasibility,
- At least a bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience,
- Exceptional technological savviness and a proven ability to master and integrate new complex technologies rapidly,
- Superior interpersonal and communication skills, with a proven ability to influence technical and non-technical stakeholders up to the executive level,
- Proven ability to thrive in a rapidly-changing, ambiguous, and high-pressure environment, providing expert guidance and technical leadership to peers during production challenges, transitions, and tool deployments,
- Expert-level, structured problem-solving skills, capable of tackling ill-defined technical challenges, paired with meticulous attention to detail in technical design and execution,
- Demonstrated ability to drive initiatives independently (self-starter), serving as a proactive technical leader who mentors others and champions a culture of continuous learning and creative, scalable problem solving,
- Experience with technical platforms such as GitHub and machine learning platforms like Vertex AI,
- ETL & Data Engineering: Hands-on experience building automated spatial pipelines, data validation checks, and handling spatial vector formats (GeoJSON, Shapefiles) is an asset,
- Web Scraping & Data Extraction: Experience with scraping frameworks (e.g., Playwright) to extract, parse, and reconcile external web data is an asset,
- Familiarity with containerization (e.g., Docker) and deploying services on cloud infrastructure is an asset.
Benefits
- Extensive benefits package: Multisport Card, LuxMed medical healthcare including dental care, life insurance, cafeteria benefits,
- Opportunity to be part of a global organization focused on development,
- Open-minded and multinational environment,
- Training & development opportunities, including language courses,
- Professional development and a clear career path,
- Full equipment and paid training are provided from the first day of work.
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