Data Engineer (m/w/d)
Core
Designing and operating scalable data infrastructure, including data modeling, database selection, and batch/streaming pipelines for a media company.
Role type
Senior Data Engineer
Builds
Production-ready data platforms, pipelines, and analytics solutions
Domain
Media & Publishing / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL (Query-Tuning, Execution Plans, Indication, Partitioning), Python (Transformation, Automation), Data Modeling (Star/Snowflake, Data Vault), Cloud Platforms (Microsoft Azure), Power BI (DAX, Row-Level Security), Kafka (Streaming, Schema Registry)
Preferred skills
NoSQL systems (MongoDB, Cassandra, DynamoDB, Redis), Microsoft Fabric, Medallion Architecture, Data Mesh
Technologies
PostgreSQL, Kafka, Power BI, Azure, Python, SQL, MongoDB, Cassandra, DynamoDB, Redis, Microsoft Fabric
Responsibilities
Develop conceptual, logical, and physical data models; Evaluate and select appropriate storage formats (relational, document, key-value, graph, vector); Design and maintain batch and streaming data pipelines; Utilize Power BI for advanced reporting and analytics.
Seniority
Senior, hands-on IC
