We are looking for a Data Engineer - Remote Sensing!
In our Location 360 team we believe that the location of things, and the relationships between them in time and space, are of fundamental importance to creating transformational digital products. We are passionate about enabling teams to seamlessly incorporate spatial and location data into their applications, analyses, operations, and models. We do this by ingesting and stewarding much of the location related data for Bayer Crop Science, by integrating models that enrich that data, and by building platforms and interfaces that make it easy for teams to integrate that data into their work. Our Imagery team is looking for an experienced and innovative Engineer familiar with satellite data to join us.
As a Data Engineer, you will focus on designing and developing large-scale, event driven data pipelines using modern data infrastructure. You will develop and maintain satellite focused data workflows supporting agronomic insights modeling, building robust data pipelines, services, and APIs to enable research, analysis, and product innovation across Bayer’s business functions. You’ll work closely with data engineers, cloud engineers, data stewards, software developers, data scientists and domain experts to build scalable cloud-based solutions using modern cloud-native and open-source technologies.
YOUR TASKS AND RESPONSIBILITIES:

• Design, build, deploy and support cloud-based and open-source solutions that ingest and process satellite data and associated metadata for a global enterprise
• 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 Kafka, AWS SQS, and 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
• Leverage Kubernetes (K8s) for deploying and managing containerized applications and workflows.
• Collaborate with data engineers and SREs 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.
• Integrate company and industry standards and best practices for data security and regulatory requirements to stay compliant with established policies.

WHAT DO WE OFFER:

• A flexible, hybrid work model
• Great workplace in a new modern office in Warsaw
• Career development, 360° Feedback & Mentoring programme
• Wide access to professional development tools, trainings, & conferences
• Company Bonus & Reward Structure
• Increased tax-deductible costs for authors of copyrighted works
• VIP Medical Care Package (including Dental & Mental health)
• Life & Travel Insurance
• Pension plan
• Co-financed sport card - FitProfit
• Meals Subsidy in Office
• Budget for Home Office Setup & Maintenance
• Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
• Tailored-made support in relocation to Warsaw when needed
• Please send your CV in English

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158