Requirements

Expected technologies

Python

Pandas

PySpark

Optional technologies

Microsoft Azure

Power BI

Our requirements

• strong experience in data engineering
• very good experience with data-oriented Python (Polars, Pandas, Pyspark)
• very good experience with Microsoft Azure, especially Synapse is a plus
• Solid understanding of cloud architecture
• ITIL
• Strong analytical skills and customer focus
• Can rapidly adapt and respond to changes in environment and priorities
• Advanced English is a must
• Excellent communication skills with high customer focus
• Desirable: Database knowledge, PowerBI knowledge, experience in Bl Projects & DataVault 2.0

Your responsibilities

• Developing new functionality within the Python-based ETL pipeline
• Ongoing maintenance and optimization of existing pipelines
• Planning the capacity and sizing of service components, as well as proactively managing cloud components
• Initiating the planning and setup of new service components
• Coordinating the operations and maintenance of related software, complex server infrastructure, and databases (such as Synapse, PowerBI, and local development environments)
• Service-related documentation must be maintained in accordance with customer technology standards
• Monitoring services and managing SLA performance will be an ongoing task
• Processes and configurations related to the environments must be documented, maintained, and optimized
• Collaboration with various stakeholders, including development, architecture, rollout, and operations teams, as well as customers, will be necessary for managing releases, upgrades, and changes