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.
Senior Data Engineer - Remote Sensing
We are looking for a Senior 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 Senior 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.
WHO YOU ARE:
Required:
- Bachelor's degree in Computer Science, Geography, Engineering, or relevant job experience
- Strong proficiency in Python and/or GO programming languages
- Strong experience with PostgreSQL/PostGIS, including schema design and query optimization.
- Hands-on experience with event-driven and streaming data architectures using platform and services such as Kafka, AWS SQS, and Google Cloud Pub/Sub
- Hands-on experience with large, complex geospatial data sets (vector or raster) and geospatial processing
- Strong understanding of geospatial concepts (projections, datums), geospatial data types, and the practical requirements associated with processing and analyzing geospatial data
- Experience with programmatic use of Geospatial Data Abstraction Library (GDAL) to manipulate geospatial data
- Experience with building RESTful APIs using common frameworks
- Strong understanding of asynchronous programming patterns and best practices, including coroutines, event loops, and concurrent execution models for optimizing data processing pipelines and API integrations
- Experience with utilizing Docker to build and deploy containerized applications
- Experience in cloud platforms such as AWS and GCP, including native data and compute services such as Bigquery, Aurora, GCS/S3, GKE/EKS, GCE/EC2, Cloud Functions/Lambda
- Experience with code versioning and dependency management systems such as GitHub
- Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
- Experience applying test-driven development principles to data engineering workflows, including unit testing, integration testing, and mocking of data dependencies.
- Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders.
Preferred:
- Highly proficient in Python or Golang with a strong track record of building and maintaining production data pipelines and backend systems
- Hands-on experience working with Kubernetes(K8S) for orchestrating and managing containerized data services and workflows.
- Experience with automating pipelines with OGC (WFS, WPS, WMS, WTMS) and SpatioTemporal Asset Catalog (STAC) specifications in production
- Familiarity with CI/CD practices and tools such as GitHub Actions, Terraform, Google Cloud Build, ArgoCD
- Experience with integrating geospatial compute platforms like Google Earth Engine / Planet Insights Platform into enterprise workflows
- Experience with object-oriented design, coding and testing patterns, and implementing complex data projects in a large-scale data infrastructure.
- Solid understanding of geospatial data concepts. Experience with data processing and analysis using geospatial libraries and tools.
- Experience with monitoring and logging tools such as Grafana, Prometheus, ELK stack, or equivalent.
- Familiarity with cloud-based machine learning services and platforms such as Google Cloud Vertex AI or AWS SageMaker. Experience with deploying and invoking model endpoints.
- Solid understanding of networking concepts, security principles, and best practices for cloud environments.
- Experience working with customers and developers to deliver full-stack development solutions; the ability to translate customer requirements into technical requirements in an Agile environment.
You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection!
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
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Bayer respects and applies the Whistleblower Act in Poland.
