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As our new Data Engineer, you will join a collaborative and skilled organization working with data at scale to enable automation of real business cases through data-driven and Machine Learning-based intelligence.
Job Responsibility:
Design, build, and operate batch and real-time data pipelines using Azure, Databricks, and Python
Ingest and process external and internal data such as weather data, market prices, grid telemetry, and event streams
Work with streaming technologies including Kafka, Spark Structured Streaming, and Flink
Ensure high data quality through validation, monitoring, and lineage
Develop and improve data workflows, standards, and reliability in production systems
Requirements:
Strong Python and SQL skills
Practical experience with cloud data platforms (Azure, Databricks) and with different data storage solutions, including data lakes, lake houses and analytical databases
Hands-on experience with streaming systems (Kafka, Spark or Flink)
Familiarity with Airflow, CI/CD, DevOps practices
Experience with Docker, Kubernetes, and Infrastructure-as-Code
Understanding of data contracts, time-series data, and event-driven systems
Fluency in English and interest in the energy domain
What we offer:
Good remuneration
challenging and international work environment
possibility to work with some of the best in the field
opportunities for personal and professional development