Senior Data Engineer

Industry: IT

• 5+ years of experience in data engineering with a strong background in designing and building ETL/ELT pipelines.
• Expert-level Python and SQL skills, including building optimized, scalable data transformations.
• Advanced hands-on experience with Apache Spark & Databricks, including Delta Lake.
• Strong experience with Azure data services (ADF/Synapse Pipelines, ADLS, Azure SQL/Synapse).
• Practical knowledge of Unity Catalog and governance models.
• Deep understanding of modern data architecture patterns.
• Experience designing and implementing cloud-based, large-scale data platforms.
• Strong familiarity with Git, CI/CD, DevOps practices, and automated pipeline deployment.
• Fluency in English (writing and speaking).

Nice to have:

• Openness to learning and working with AI technologies (including agentic frameworks, text 2 sql).
• Ability to support or collaborate on ML/DS workflows.
• Exposure to machine learning lifecycle tools (MLflow, Feature Store).
• Interest in contributing to the evolution of Azure Data & Analytics Platform.

• Design and build optimized ETL/ELT pipelines for efficient data processing.
• Utilize advanced Python and SQL skills for scalable data transformations.
• Implement and optimize data processing frameworks using Apache Spark and Databricks.
• Work with Azure data services, including ADF/Synapse Pipelines and Azure SQL/Synapse.
• Manage data governance and access control through Unity Catalog.
• Architect modern data models, utilizing concepts such as Medallion and Data Vault.
• Deploy and maintain large-scale cloud-based data platforms.
• Adhere to DevOps practices for CI/CD in automated pipeline deployment.
• Communicate effectively in English, both in writing and speaking.

Remote work location in Poland.