TL;DR
Senior Data Engineer (Azure): Designing and developing robust data solutions and scalable pipelines with an accent on cloud-based architectures and efficient data processing. Focus on utilizing Azure Data Factory, Snowflake, and Databricks to build high-quality, automated data ecosystems.
Location: Must be based in the Czech Republic (Remote role)
Company
A leading software and technology consulting company providing mission-critical digital solutions across diverse global industries.
What you will do
- Architect and design end-to-end data solutions
- Develop and maintain scalable ETL and ELT processes
- Optimize data storage, query performance, and analytics solutions
- Implement pipeline automation and infrastructure as code practices
- Collaborate with cross-functional teams to deliver high-quality data engineering outcomes
Requirements
- Fluent English proficiency
- Must be based in the Czech Republic
- Hands-on experience with Azure Data Factory and cloud ecosystems
- Deep expertise in Snowflake data modeling and performance tuning
- Strong proficiency in Databricks, PySpark, and SQL
- Experience in data architecture and pipeline design
Nice to have
- Knowledge of Terraform for infrastructure as code
- Experience with advanced data pipeline automation
Culture & Benefits
- Emphasis on diversity, equity, and inclusion
- Commitment to an inspiring and innovative workplace
- Focus on professional growth and digital transformation projects