Digital Hub Data Engineer I

Why Bayer?

“Health for all and Hunger for none” is our mission at Bayer. Every day, we are privileged to  work on purposeful cutting-edge projects to bring our mission to life. Join us at Bayer to have a  career that you can put your passion into practice and make an impact using Science for a better  life. 

For our newly established IT Hub, we are looking for:

Digital Hub Data Engineer

Scope of responsibilities:

• Participate in design sessions with Enterprise and Hub Data Stewards, Engineering teams, Data Scientists, Product Managers, business and IT stakeholders, that result in design documentation for data processing, storage and delivery solutions.​
• Participate in evaluation of new technologies, Domino or Redshift, or new languages, like Go or React, including POCs.​
• Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders.​
• Implement data solutions according to design documentation using a variety of tools and programming languages, like Kafka, SQL and non-SQL databases, Scala, Go etc., and following team’s established processes and methodologies, like SCRUM or Kanban.​
• Participate in code reviews, retrospectives, functional and integration testing and other team activities focused on improving quality of delivery.​
• Collaborate with other data engineers and data stewards within the team and across data, technical platforms and product teams on aligning delivery dates and integration efforts.​
• Represent the team at various cross team meetings and events focused on design and planning, like Scrum of Scrums and Release Planning, sharing the results of team efforts, or brainstorming on process improvements.​
• Create and maintain design and code documentation in GitHub, Haystack, SharePoint and/or other repositories used by the team.​

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or related field. 4 years of relevant experience is an acceptable substitute for the degree requirement.
• Experience engineering data intensive software using streaming and/or resource based design principles​
• Demonstrated understanding of data architecture and modeling, including designing both logical and physical models for datasets​
• Exposure to writing queries and building data structures in relational databases such as (but not limited to) Postgres, MySQL, Oracle, etc.​
• Knowledge of at least one NoSQL database such as (but not limited to) Neo4j, Cassandra, etc. ​
• Strong interpersonal skills and desire to work in a highly collaborative environment​
• Desired exposure to or experience with:​
• Machine learning or other data science practices​
• Agriculture, life sciences, bioinformatics, biochemistry, genetics, biology, or a related disciplines​

We offer:

• Hybrid working style

• Full time employment contract

• Wide range of development opportunities

• Competitive salary

• Attractive benefits package

• Good working conditions and comfortable working environment

Bayer is an Equal Opportunity Employer. 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).

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.