Design, develop, and maintain scalable data pipelines for ingesting, transforming, and storing large volumes of data from diverse sources. Collaborate with data product team members and data consumers to understand data requirements and clarify acceptance criteria. Contribute to the design of analytical and domain data models that support the organization's data & analytics requirements.
Key Highlights
Collaborate with data product team members and data consumers
Design and develop scalable data pipelines
Contribute to the design of analytical and domain data models
Troubleshoot and resolve data-related incidents
Mentor junior engineers and uphold high standards in code review, testing, and documentation
Technical Skills Required
Python
SQL
AWS
Snowflake
Databricks
Delta Lake
Apache Iceberg
Kafka
Kinesis
dbt Core
Great Expectations
PyTest
GraphQL
OData
REST
Azure DevOps
Dagster
Airflow
Benefits & Perks
Flexible, hybrid work model
Great workplace in a new modern office in Warsaw
Career development, 360° Feedback & Mentoring programme
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
Job Description
As a Senior Data Engineer, you will be a part of Bayer's Pharma Data & AI Team with varying assignments according to project needs. You will develop and operate robust, observable, and cost-efficient data pipelines and services powering analytics and data products on our Commercial Data Platform.
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