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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.

 

Staff Data Engineer - Location 360 

 

We are looking for a Staff Data Engineer! 

 

The mission of Bayer Crop Science is centered on developing agricultural solutions for a sustainable future that will include a global population projected to eclipse 9.6 billion by 2050. We approach agriculture holistically, looking across a broad range of solutions from using biotechnology and plant breeding to produce the best possible seeds, to advanced predictive and prescriptive analytics designed to select the best possible crop system for every acre.

To make this possible, Bayer collects terabytes of data across all aspects of its operations, from genome sequencing, crop field trials, manufacturing, supply chain, financial transactions and everything in between. There is an enormous need and potential here to do something that has never been done before. We need great people to help transform these complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all crop system development decisions to unbelievable levels.

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 Environmental team is looking for an experienced and innovative Staff Software Engineers to join us.

 

YOUR TASKS AND RESPONSIBILITIES: 

 

 

 

WHO YOU ARE:

 

Required:

 

  • Shipped multiple generations of a software product, demonstrating long-term technical ownership and evolution
  • A track record of shipping and maintaining multiple major product releases written in Go
  • A track record of designing, building, and maintaining multiple product releases of data-intensive APIs using a RESTful approach
  • Extensive experience in system design and architecture for large-scale, distributed applications.
  • Experience with stream processing using Apache Kafka
  • Experience with designing effective Unit Testing and Test Driven Development patterns
  • Familiarity with creating and maintaining containerized application deployments with a platform like Docker
  • Familiarity with developing and deploying to and working with Kubernetes cluster infrastructure
  • A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
  • Experience data modeling for large scale databases, either relational or NoSQL

 

Preferred:

 

  • Experience with protocol buffers and gRPC
  • Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine
  • Experience working with scientific datasets, or a background in the application of quantitative science to business problems
  • Solid understanding of geospatial data concepts. Experience with data processing and analysis using geospatial libraries and tools.
  • Familiarity with cloud-based machine learning services and platforms such as Google Cloud Vertex AI or AWS SageMaker. Experience with deploying invoking model endpoints.
  • Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation

 

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

   
YOUR APPLICATION:  
   

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.

  
   
   
Location: Poland : Mazowieckie : Warszawa     
Division: Enabling Functions    
Reference Code: 847810     

 


Job Segment: Sustainable Agriculture, Agricultural, Biology, Biotech, Database, Agriculture, Technology, Science

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