Summary
Join us at Celonis, the global leader in Process Mining technology, as a Data Engineer on the Financial Data Platform team to design, build, and maintain data infrastructure that powers our Celonis Process Intelligence Platform.
Requirements
- Degree in Computer Science, Engineering, Informatics, or a related technical field
- 3+ years of experience as a Data Engineer, designing and operating data infrastructure and pipelines in the cloud, preferably on AWS
- Strong proficiency in object-oriented Python and SQL for data processing and pipeline development
- Experience with data orchestration tools like Dagster, Airflow, Prefect, or Luigi
- Familiarity with data lake and lakehouse technologies such as Apache Iceberg, Apache Spark, and AWS Services such as Athena, EMR, Glue, and S3
- Exposure to stream processing and event-driven architectures using AWS Lambda or similar tools
- Knowledge of data warehousing and modeling techniques, especially in Redshift. Data Vault 2.0 is a plus
Responsibilities
- Develop and optimize data ingestion pipelines
- Expand data coverage
- Design scalable data processing jobs
- Ensure data quality and observability
- Build event-driven microservices
- Collaborate with analytical stakeholders
- Ensure data security and compliance
- Monitor and troubleshoot pipelines
- Adopt and implement new technologies
Benefits
- Great compensation and benefits packages (equity (restricted stock units), life insurance, time off, generous leave for new parents from day one, and more)
- Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more)