Data Engineer / EF / São Jose dos Campos/SP

Data Engineer / EF / São Jose dos Campos/SP

Our mission – Health for all, Hunger for none – is at the heart of everything we do.

Now, imagine a workplace where your voice truly matters. A place where you're invited to take part in decisions, where your unique skills and knowledge guide the projects you join. Here, leaders are more than managers – they’re mentors and coaches, walking alongside you. And with innovation and planning cycles as quick as 90 days, we’re always moving forward, together.

With our new way of working, called Dynamic Shared Ownership (DSO), we’re building a more agile, less bureaucratic organization – one that’s focused on creating real value for everyone: farmers, patients, consumers, employees, investors, and society as a whole.

At Bayer, Diversity and Inclusion aren’t just buzzwords – they’re core values we live by every day. We believe that when people from different backgrounds come together, amazing things happen. Diverse teams spark creativity, drive innovation, and make our workplace more welcoming for everyone.

If you’re someone who wants to shape your own path, who values creativity and brings a spirit of innovation – you’ll feel right at home here. Come be part of this journey. Be yourself. We are Bayer.

GET TO KNOW OUR AREA:

We are GBS – Global Business Services, Bayer's shared services center, located in São José dos Campos/SP. GBS acts as a global strategic hub, supporting different areas of the company.

At this position you will be part of a Digital hub in GBS supporting R&D functions as Regulatory Science, Discovery and Testing for our Crop Protection business. Currently, there are seven open positions for this role.

The primary responsibilities of Data Engineers include extracting, loading, and transforming data sets from various source systems. This role involves creating and maintaining data pipelines for ingesting data into storage solutions (such as data lakes and warehouses) within a structured framework that encompasses staging, core, and mart layers.

The goal is to maximize the value of the data generated within the R&D and Regulatory landscape.

Data extraction will involve both internal and external data sets, necessitating cloud enabled solutions. The data engineer will function as an individual contributor while collaborating with other global data engineers to ensure consistent processes for maintaining our digital environment.

Additionally, the data engineer will work closely with other digital teams to guarantee that data is readily available for use in data analytics, data visualizations, machine learning, business intelligence, and data simulations.

GBS has a global and collaborative scope, offering development opportunities and allowing a broad view of processes and interaction with different areas and sites of Bayer.

YOUR MISSION WILL BE TO:

Data Engineering and Pipeline Designing

Implement, and operate batch and streaming data pipelines using technologies such as Kafka, Flink/Spark Streaming, cloud ETL/ELT services, and serverless architectures to ingest, transform, and curate data from instruments, field systems, LIMS, and external partners into cloud data platforms and domain data products.

Create and maintain data pipelines for data ingestion into storage solutions (data lakes and warehouses; Agentic AI/ML) across staging, core, and mart layers.

Ensure data quality by adhering to data governance practices, including master/reference data management and data security.

Collaborate with digital teams to ensure data availability for analytics, visualizations, machine learning, and business intelligence using DevOps & DataOps methodology.

Implement data solutions according to design documentation using AWS and GCP cloud services, Kafka, SQL and NoSQL databases, and languages such as Python, following agile methods and software engineering best practices (version control (GitHub), code review, automated testing, CI/CD, Infrastructure-as -Code).

Collaboration & Learning

Work closely with data scientists, data engineers, and information management teams to support data needs, availability and usability.

Participate in discussions to understand data requirements from Product Managers, Data Stewards, scientists, bioinformaticians and business stakeholders and R&D stakeholders

Work as a full member of agile teams, participating in planning, daily stand-ups, reviews, retrospectives, and cross team- coordination (e.g., peer programming, retrospectives, architecture reviews) to align roadmaps, dependencies, and priorities

Actively seek feedback and guidance to accelerate technical and professional growth

Standards, Documentation & Continuous Improvement

Follow established engineering standards, coding guidelines, and documentation practices

Contribute code, configurations, and documentation to shared repositories

Participate in code reviews, testing activities, and retrospectives as a learner and contributor

Stay current with foundational data engineering concepts, tools, and best practices

ARE YOU READY FOR THE POSITION?

Education & Experience

Bachelor’s (or Technology degree) in Computer/Software Engineering, Information Systems or related.

Experience in data engineering / data pipelining.

Postgraduate certificate in Data Engineering/Big Data/Data Architecture is a plus.

Certifications: BigQuery/Azure Synapse/Redshift; Airflow/dbt; AWS/GCP/Azure data is a plus

Insights in Machine Learning & ModelOps is a plus

Availability to work on-site one (1) day per week in São Jose dos Campos/SP - GBS site

Languages

Advanced / Fluent English

Technical knowledge and/or experience:

Proficiency with cloud platforms (GCP, AWS, Azure) and their storage solutions (GCS, S3, Azure Blob Storage).

Experience with serverless computing (Google Cloud Functions, AWS Lambda, Azure Functions).

Strong knowledge of SQL and NoSQL databases, especially Google BigQuery.

Familiarity with Big Data tools (Spark, Kafka, Flink, Hadoop).

Proficient in Python for data manipulation and analysis.

Familiarity with workflow/pipeline tools (Airflow, AWS Step Functions, KubeFlow).

Experience with container orchestration tools (Docker) and version control (GitHub).

Experience working in cross-functional or matrixed environments.

Ability to independently translate business or scientific questions into analytical solutions

Strong problem-solving and analytical thinking skills

Effective communication with both technical and non-technical audience

Knowledge in Data Governance practices is a plus

Experience with data visualization tools (PowerBI, Spotfire) is a plus.

Ability to manage multiple tasks and deliver results with limited supervision

Engineering & MLOps fundamentals: version control, reproducibility; basic model lifecycle management including monitoring, maintenance, and continuous improvement of ML/AI solutions in production environments is desirable

Machine Learning & Analytics: knowledge about supervised and unsupervised learning, practical experience implementation of ML approaches, Model evaluation & validation, Feature engineering, Understanding of ML limitation & data leakage is desirable

What else you’ll find here:

At Bayer, we care deeply about the well-being of our people. That’s why our benefits are built around three essential pillars: integrated health, financial well-being, and life balance. Together, they support a healthier, more fulfilling life – inside and outside of work.

Here’s a glimpse of what we offer:

Encouragement for a healthy lifestyle

Support in identifying and monitoring physical and mental health risks

Initiatives focused on health promotion, prevention, and care

Real balance between personal and professional life

Guidance for personal financial planning

Insurance and private pension plans to help you build a secure future

And of course, we also offer a full range of market-standard benefits, including medical and dental care, life insurance, meal benefits, Wellhub (formerly Gympass) and TotalPass.

What makes us different:

Flexible/hybrid work model

Short Fridays and extended holiday breaks

Flexible vacation planning (within legal guidelines)

Language courses – Free access to standard courses through our partner Education First (EF), in multiple languages like English, Spanish, German, French, Portuguese, and Swedish

Pharmacy subsidy – 50% discount on Bayer over-the-counter products, and full coverage for prescription Bayer medications

Conte Comigo – A support program offering psychological assistance, help with substance dependency, and legal and financial counseling

Bem Nascer – A special package of exclusive benefits for new parents

Childcare assistance – Additional support for parents welcoming a new child

Parental leave – A benefit designed to strengthen family bonds, offering equal opportunities for all parents, regardless of gender identity or family structure

Private pension plan – A long-term savings plan with a 200% company match on your contributions

Unico Skill: an educational hub offering 26,000+ courses from 90+ renowned institutions, including undergraduate and graduate programs, MBAs, short courses, mentoring, and language classes.

Benefits may vary depending on your role and location.

Período disponível para candidatura:

De 22/06/2026 a 03/07/2026

Referência:

872634

Divisão:

Crop Science

Local:

Brasil : São Paulo : São José dos Campos

Área Funcional:

Tecnologia da Informação

Nível da Posição:

VS 1.1

Grupo de Contratação:

Regular

Horário de Trabalho:

Administrativo