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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.

Principal Data Engineer

We are looking for a Principal Data Engineer in Crop Science IT division!

Why Bayer and Bayer Crop Science IT?

In Crop Science at Bayer, Data Engineers are responsible for building backend data services, pipelines, and platforms. Our engineering teams in the Global Data Assets organization cover a broad range of domains relevant to agriculture, constructing reusable data APIs used to power our internal and external experiences.

The Principal Data Engineer will contribute to solution design and build, as well as drive definition and adoption of best practices across the organization.

YOUR TASKS AND RESPONSIBILITIES:

1. Drive design and development of organizational technical strategy
2. Author code to contribute new features to a codebase, evolve existing features and fix defects
3. Collaborate with product managers and stakeholders to define and refine solution requirements
4. Provide thought leadership and be a trusted technical advisor to the business
5. Communicate technical principles, solutions and recommendations with business stakeholders, product managers, and other technical leaders
6. Review code contributions from team members to provide constructive and actionable feedback
7. Collaborate with Principal Engineers and other engineering teams across the organization to ensure a cohesive and coherent architecture
8. Work with leadership and teams to prospect for and evaluate impactful, purpose-fit technology to introduce to our problem-solving toolbelts
9. Resolve conflicts which occur during the software development lifecycle
10. Mentor engineers and aid their journey to become passionate experts in the craft of outstanding software

WHO YOU ARE:

1. Bachelor’s degree in computer science, management information systems, or a related discipline
2. Deep knowledge of the Go programming language
3. Knowledge of key architectural patterns, such as microservices and event-driven architecture, with a deep understanding of their related trade-offs
4. A deep understanding of various API protocols such as gRPC, JSON over HTTP, and GraphQL along with design best practices and trade-offs
5. Experience with utilizing data formats and interface description languages such as Protobuf3
6. An understanding of containerized applications and their corresponding lifecycle
7. Strong understanding of Kubernetes architecture and concepts with direct experience deploying software using the Kubernetes control plane
8. Knowledge of best practices for Continuous Integration and Continuous Deployment (CI/CD)
9. Familiarity with Observability concepts, such as Service Level Objectives (SLOs) and Service Level Indicators (SLIs), and related tooling (e.g., Datadog, OpenTelemetry, etc…)
10. Demonstrated experience as a productive reviewer of code, with an ability to coach others on the differentiation of style and correctness
11. Direct Experience with relational databases and declarative query languages such as SQL (e.g., Oracle, Postgres, etc…)
12. Knowledge of NoSQL databases, their corresponding query languages and relevant data modeling techniques and design patterns (e.g., Google Cloud Spanner, Amazon DynamoDB, Neo4j)
13. Experience with the git version control system and related tools such as GitHub or GitLab
14. Deep knowledge of public cloud concepts and infrastructure with providers such as Google Cloud Platform or Amazon Web Services
15. Familiarity with the publish/subscribe models and supporting technologies (e.g., Apache Kafka, Google Pubsub, AWS SNS/SQS, etc…)

Nice-to-Haves:

1. Demonstrated experience with other object oriented and functional programming languages (e.g., Python, Java, C, C++, Scala, Rust, etc…)
2. Experience with geospatial data structures and algorithms (e.g., vector and raster data)
3. A demonstrated understanding of Machine Learning and Generative AI concepts
4. Experience building Kubernetes custom controllers and working with the “Operator Pattern”
5. Knowledge of Google’s Resource Oriented Design approach to API design
6. Direct experience working with Apache Kafka for streaming data and message exchange
7. Experience with Infrastructure as Code (IaC) (e.g. Terraform, Pulumi, etc.)
8. Knowledge of the agricultural domain.

What do We offer:

1. A flexible, hybrid work model
2. Great workplace in a new modern office in Warsaw
3. Wide access to professional development tools, trainings, & conferences
4. Company Bonus & Reward Structure
5. VIP Medical Care Package (including Dental & Mental health)
6. Life & Travel Insurance
7. Pension plan
8. Co-financed sport card - FitProfit
9. Meals Subsidy in Office
10. Budget for Home Office Setup & Maintenance
11. 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
12. Tailored-made support in relocation to Warsaw when needed
13. Please send your CV in English

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

Warszawa - Oferty pracy w okolicznych lokalizacjach