Data Engineer
Core
Designing and operating data platforms and data streams for customers in energy, public sector, finance, and healthcare, enabling better decision-making and robust data infrastructure.
Role type
Data Engineer (Production)
Builds
Production data platforms, ETL/ELT pipelines, and data integration solutions for client projects.
Domain
IT services and digital transformation across energy, public sector, finance, and healthcare.
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data modeling, ETL/ELT (batch and streaming), Cloud platforms (Azure, AWS, GCP), SQL, Python, Data engineering in production environments, Client project delivery, Team collaboration
Preferred skills
Microsoft Fabric, Databricks, Apache Spark, Kafka, Kinesis, AI/ML tools integration
Technologies
Azure, AWS, GCP, Microsoft Fabric, Databricks, Apache Spark, Kafka, Kinesis
Responsibilities
Design and operate data platforms and data streams for clients, Perform data modeling and ETL/ELT processes, Collaborate with data scientists, analysts, and architects, Ensure solution performance, quality, and reliability in production, Work independently and closely with clients and teams, Deliver data solutions in customer projects
Seniority
Mid-level, hands-on IC