This is a fully remote position, open to applicants in Czechia.

• Collaborate on the design and architecture of data solutions.

• Develop and sustain scalable ETL processes.

• Enhance data storage, processing, and analytics solutions.

• Ensure adherence to best practices in CI/CD and infrastructure as code.

• Work in close partnership with cross-functional teams to provide high-quality solutions.

• Design and implement data solutions that are scalable, secure, and efficient.

• Extensive hands-on experience with Azure Data Factory for data integration, orchestration, and pipeline development.

• Profound understanding of Snowflake, including data modeling, performance optimization, and query tuning.

• Expertise in Databricks, PySpark, or Spark SQL for data transformation and processing large-scale data.

• Strong knowledge of data architecture, ETL/ELT design, and automation of data pipelines.

• Experience with cloud solutions, particularly within the Azure ecosystem.

• Familiarity with infrastructure as code; knowledge of Terraform is a significant advantage.

• Proficient in SQL and Python.

• Experience working with cloud-based data platforms and contemporary data engineering best practices.

• Capability to design and implement scalable, secure, and efficient data solutions.

• Exceptional communication skills with the ability to collaborate across technical and business teams.

• Fluency in English, both written and spoken.

• Proven track record in data engineering roles with a focus on Azure and modern data stacks.

• Option for remote work.

• Hybrid work arrangement.

• Commitment to diversity, equity, and inclusion.

Data Engineer

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