Senior Azure Data Engineer

About the position

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. The project aims at integrating and harmonizing data from strategic platforms into our global data platform. We look for a data engineer to create, maintain and improve pipelines from source to harmonized layer and from harmonized layer to consumption layer for Power BI reporting. Business domains covered are around commercial insurance pricing & underwriting.

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)
• Maintaining service-related documentation in accordance with customer technology standards
• Monitoring services and managing SLA performance
• Documenting, maintaining, and optimizing processes and configurations related to the environments
• Collaborating with various stakeholders, including development, architecture, rollout, and operations teams, as well as customers, for managing releases, upgrades, and changes

Requirements

• Preferably at least 5 years' experience in data engineering
• At least 3 years' experience with data-oriented Python (Polars, Pandas, Pyspark)
• At least 3 years' experience with Microsoft Azure, especially Synapse is a plus
• Solid understanding of cloud architecture
• ITIL
• Strong analytical skills
• Strong 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

Nice-to-haves

• Database knowledge
• PowerBI knowledge
• Experience in Bl Projects & DataVault 2.0

Benefits

• Yearly financial bonus
• Private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms
• Life insurance
• Access to NAIS benefit platform
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform
• Free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings
• Hybrid working model with ergonomic work from home package (including laptop, monitor, and chair)