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.
For Digital Hub Warsaw, we are looking for:
Senior Data AWS Engineer
Participate in a global, strategic project in the Bayer Consumer Health division that will influence data in our business and manufacturing processes going forward. Our AWS-based data platform aggregates information from various sources to promote efficiency, creativity and better decision-making. To build scalable, high-performing and secure pipelines while working with teams around the world, we are seeking a hands-on Data Engineer. Contribute to a platform that will shape Bayer's digital future for Consumer Health division.
Your Tasks & Responsibilities:
Play a key role in driving the design and implementation of AWS Data Lake, including orchestration and security guardrailsDefine and enforce data architecture standards, including metadata, lineage and governanceBuild and optimize ETL/ELT pipelines using AWS Glue, Spark, Athena, Lake Formation, S3, Step Functions, LambdaCollaborate with DevSecOps engineers on infrastructure automation and CI/CD pipelines using tools such as GitHub Actions and TerraformAutomate deployment and management of data infrastructure and workflows to ensure reliability and scalabilityImplement and manage IAM policies, KMS encryption, VPC configurations and audit mechanisms to ensure security and complianceEnsure platform scalability, performance and cost efficiency (e.g., partitioning, catching strategies)Coordinate integration with AI/ML pipelines, including feature engineering and data validationParticipate in validation and documentation efforts aligned with GxPEngage with stakeholders (Product, PM, PO, Architects) to align technical design with business needsManage and reduce technical debt in data pipelines and infrastructureAct as technical lead and reviewer for offshore data engineers
Qualifications & Competencies (education, skills, experience):
5+ years of experience in data engineering on AWSStrong knowledge of AWS data stack: Glue, Athena, Lake Formation, S3, Step Functions, Lambda, RDS etc.Proficient in Python for scripting, automation and data manipulation tasksExperience with PySpark for building scalable, distributed ETL/ELT pipelines using Apache Spark (especially within AWS Glue)Experience designing enterprise data lakes and data mesh architectureExperience in structuring and modelling data in both relational and non-relational formsAbility to elaborate and propose relational/non-relational approachAdvanced knowledge of databases, including query optimization, relational and non-relational schema designExpertise in data storage technologies, including files, relational databases, NoSQL and various data types (structured, unstructured, metrics, logs)Deep understanding of data governance, lineage and metadata managementExperience in implementing data quality frameworks, validation checks and monitoring to ensure reliability of dataHands-on experience with real-time data streaming technologies and patterns (e.g. Kinesis, Kafka, or similar) for event-driven architecturesSolid awareness of DevSecOps practices, including automation of CI/CD pipelines (GitHub Actions or similar), infrastructure as code (Terraform), IAM roles, encryption, SAST/SCA tools integration, auditabilityLeadership and team coordination skills - ability to lead distributed teamsAWS Certified Data Engineer - Associate, additional certifications such as AWS Certified DevOps Engineer, AWS Certified Solutions Architect or AWS Certified Developer are a plusFluent in English (written and spoken)
Nice to Haves:
Experience with AI/ML data pipelines, embedding management or feature storesKnowledge of data quality frameworksHands-on experience configuring and developing dashboards in tools such as Power BI, Grafana or Tableau, including data source integration, metric definitions, and visual layer optimizationExperience in regulated environments (GxP, pharma, financial or healthcare)
What do We offer:
A flexible, hybrid work modelGreat workplace in a new modern office in WarsawCareer development, 360° Feedback & Mentoring programWide access to professional development tools, training, & conferencesCompany Bonus & Reward StructureVIP Medical Care Package (including Dental & Mental health)Holiday allowance (“Wczasy pod gruszą”)Life & Travel InsurancePension planCo-financed sport card - FitProfitMeals Subsidy in OfficeAdditional days offBudget for Home Office Setup & MaintenanceAccess 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 chairsTailored-made support in relocation to Warsaw when neededPlease send your CV in English
You feel you do not meet all the 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
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:
CH
Reference Code:
851381