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At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
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.
WHAT DO WE OFFER:
WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158
WHO YOU ARE:
Required:
Preferred:
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
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.
WHAT DO WE OFFER:
WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158
,[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. Requirements: Python, Kubernetes, REST API, Kafka, AWS, GIS, Geospatial Data Abstraction Library, SpatioTemporal Asset Catalog (STAC), GCP, Go Additionally: Sport subscription, Training budget, Private healthcare, International projects, Annual bonus, Authorship tax relief, Pension plan, PPK, Christmas bonus, Child allowance bonus, Budget for Home Office Setup & Maintenance, Free coffee, Bike parking, Playroom, Free beverages, In-house trainings, In-house hack days, Modern office, Free parking, No dress code.