Data Engineer (m/w/d)
Core
Design, development, deployment, and continuous improvement of data products and pipelines enabling productive AI, analytics, and operational workflows.
Role type
Senior IC data engineer (AI/Analytics)
Builds
Scalable ingestion, transformation, quality, and serving pipelines for batch, streaming, and API-based data sources
Domain
Data engineering, AI, and analytics
Deliverable
production ML models
Required skills
Python, SQL, ETL/ELT pipeline design and operation, Cloud platforms (Azure/AWS/GCP), Containerization and workflow orchestration (Docker, Airflow), Infrastructure as Code (Terraform), Distributed processing systems (Spark, Snowflake, Databricks), Data quality and monitoring
Preferred skills
Experience with Kafka, Kinesis, Data Lakes, Warehouses, Streaming technologies, Cross-functional collaboration with AI Engineers and Data Scientists
Technologies
Azure, AWS, GCP, Docker, Airflow, Terraform, Kafka, Kinesis, Spark, Snowflake, Databricks (via careerplan.io/jobs/2391362-data-engineer-mwd-at-ommax)
Responsibilities
Design and build scalable data pipelines for AI and analytics workflows; Collaborate with customer teams to translate requirements into reliable data solutions; Ensure data quality, observability, performance, security, and cost efficiency in cloud environments; Iterate on solutions based on data-quality signals and user feedback; Contribute to reusable platform components and standards
Seniority
Senior, hands-on IC
