Senior Data Engineer – Data Architecture & Pipelining (H/F)
Core
Designing and implementing modern data platforms, including migrations to Snowflake/Databricks and large-scale data pipeline industrialization.
Role type
Senior Data Engineer (Architecture & Pipelining)
Builds
Modern data platforms (Lakehouse, Data Warehouse), robust data pipelines, and cloud data infrastructure.
Domain
Cloud Data Engineering & Architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Data Engineering, SQL, Spark, Python, Cloud Architecture (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 architectures and challenge technical choices; Optimize performance, scalability, and costs; Orchestrate and automate data treatments; Implement multi-cloud environments.
Seniority
Senior, hands-on IC with growth path to Architect
