Data Engineer (H/F)
Core
Designing and evolving data pipeline architectures (batch and streaming) for digital product clients in sectors like health, aerospace, and automotive.
Role type
Senior Data Engineer
Builds
Robust, scalable ETL/ELT pipelines and data infrastructure for client digital products
Domain
Digital product consulting, data engineering
Deliverable
production ML models | infrastructure
Required skills
Python, Scala, Java, Apache Spark, Apache Flink, Apache Kafka, data orchestration, cloud platforms (AWS, GCP, Azure), relational databases (PostgreSQL, BigQuery, Snowflake, Redshift), NoSQL, dbt, Git
Preferred skills
Experience in complex environments or high-volume data processing
Responsibilities
Design and evolve data pipeline architectures, develop and maintain robust ETL/ELT pipelines, integrate diverse data sources, ensure data quality and lineage, monitor and optimize data infrastructure performance, deploy data flows to cloud environments, implement DataOps practices, collaborate with Data Science and BI teams
Seniority
Senior, hands-on IC
