Data Engineer (F/H)
Core
Designing and implementing data storage strategies, ingestion pipelines, and data APIs to provide ready-to-use data for consumers and support data science initiatives.
Role type
Data Engineer
Builds
Data pipelines, storage infrastructure, and data APIs
Domain
Data Engineering / Big Data / Cloud
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design, data ingestion (batch/micro-batch/real-time), SQL/NoSQL database management, distributed storage, API development, DevOps/CI-CD, Agile methodology, Java, Scala, Python, Hadoop, Spark, Kafka
Preferred skills
Microsoft Fabric, Google Cloud Platform, Snowflake, Databricks
Responsibilities
Define data storage strategies and implement appropriate technologies, ingest structured/semi-structured/unstructured data, design and develop data pipelines for data enrichment and indicator calculation, develop APIs to expose data to third-party applications, support data scientists in industrializing and optimizing ML algorithms, conduct workshops with stakeholders to gather requirements and transfer skills
Seniority
Mid-level (2+ years experience)
