Senior Data Engineer at Bunge Asia Pte Ltd

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

04 Aug, 26

Salary

0.0

Posted On

06 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, PostgreSQL/PostGIS, Geospatial Data Processing, Google Cloud Platform, BigQuery, Google Earth Engine, Cloud Pub/Sub, API Development, Data Pipeline Design, AWS S3, Azure DevOps, GitHub, Terraform, CI/CD, Event-Driven Architecture

Industry

Food and Beverage Manufacturing

Description

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 in 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 organization's 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. Minimum requirements: 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 At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com. Every day our people exemplify these values, which represent Bunge at its core: • We Are One Team – Collaborative, Respectful, Inclusive• We Lead The Way – Agile, Empowered, Innovative• We Do What’s Right – Safety, Sustainability, With Integrity If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge

Responsibilities

Design and deploy cloud-based solutions to ingest and process geospatial data for commercial intelligence. Build scalable data pipelines and APIs to enable data-driven decision-making and analytics strategy.