Senior Data Engineer

City: Warsaw State: Mazowieckie (PL-MZ) Country: Poland (PL) Requisition Number: 44435

Overview

We are seeking a highly motivated and experienced Senior Data Engineer with strong expertise in data architecture, data engineering, and a focus on working with geospatial data. This role will work closely with a multidisciplinary team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the enterprise. This role requires an agile learner, possess strong problem solving skills, work as part of a technical, cross-functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy. At Bunge, you will be at the forefront of leveraging data analytics and technology to feed and fuel the world in a better, faster, and simpler way.

Main Accountabilities

• Design, build, deploy and support cloud-based and open-source solutions that ingest and process geospatial data (e.g. weather, locations, satellite) to support Bunge’s commercial intelligence initiatives
• Implement scalable data pipelines for ingestion, transformation, and delivery of structured and unstructured geospatial data.
• Build highly scalable APIs for accessing geospatial data and initiating geospatial processing and analysis.
• Develop event‑driven data processing solutions using Google Cloud Pub/Sub to orchestrate multi-stage spatial workflows.
• Integrate and manage data flows across cloud platforms such as AWS and GCP, databases such as PostgreSQL/PostGIS and BigQuery, and cloud storage such as AWS S3 and Google Cloud Storage
• Collaborate with data engineers and product owners to optimize and monitor data pipelines and services for performance, reliability, scalability, and cost-effectiveness.
• Provide technical support, including incident response, troubleshooting and resolution for production issues in data pipelines and API services.
• Bachelor's degree in Computer Science, Geography, Engineering, or relevant job experience
• Skilled in Python, SQL, PostgreSQL/PostGIS, including schema design and query optimization.
• Hands‑on experience with large, complex geospatial data sets (vector or raster) and geospatial processing
• Solid understanding of geospatial data concepts. Experience with programmatic data processing and analysis using geospatial libraries and tools.
• Experience with cloud compute services (GCP preferred) such as GCP BigQuery, EarthEngine Pub/Sub, Cloud Run, GCS
• Experience with code versioning and dependency management systems such as Azure Dev Ops (ADO) or GitHub
• Self-motivated with excellent problem-solving skills; ability to work effectively in a fast-paced, collaborative environment.
• Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders.
• Demonstrated strong number sense, intellectually curious and willing to adjust position based on additional information
• Strong work ethic; ability to work across diverse geographical time zones

Preferred qualifications

• Hands‑on experience with event-driven and streaming data architectures using Cloud platform and services such as Google Cloud Pub/Sub
• Highly proficient in Python with a strong track record of building and maintaining production data pipelines and backend systems
• Familiarity with CI/CD practices and tools such as Terraform, ADO pipelines, or GitHub Actions
• Experience with integrating geospatial compute platforms like ArcGIS and Google Earth Engine into enterprise workflows
• Experience with building RESTful APIs using industry-standard frameworks
• Experience in Agri-business, sustainability or related industry