Senior Data Engineer – Data Architecture & Pipelining (H/F)
Core
Designing and implementing modern data platforms, including data lakes, lakehouses, and warehouses, while industrializing large-scale data pipelines.
Role type
Senior Data Engineer (Data Architecture & Pipelining)
Builds
Modern data platforms, robust industrialized pipelines, and cloud data architectures.
Domain
Data Engineering, Cloud Data, Data Architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Data Engineering, SQL, Spark, Python, Cloud (Azure/AWS/GCP), Snowflake, Databricks, Denodo
Preferred skills
dbt, Airflow, Azure Data Factory, AWS Glue, DataOps, CI-CD, Observability
Technologies
Snowflake, Databricks, Denodo, Azure, AWS, GCP, Spark, Python, SQL
Responsibilities
Design and develop robust, industrialized data pipelines; Define target data architectures and challenge technical choices; Optimize performance, scalability, and costs of data systems; Implement multi-cloud environments and data virtualization.
Seniority
Senior, hands-on IC with growth path to architecture
