Junior+/Mid Data Engineer
New
C
CloudfideData engineering
Workplace type: remote; Locations: Warszawa, Jana Nowaka-Jeziorańskiego, Wrocław, Kielce, Katowice, Gdańsk, Warszawa, Country code: PLContractJunior
Salary not disclosed
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Job Details
- Languages
- Fluent English communication
- Experience
- At least 1.5 years of commercial experience in data engineering.
- Required Skills
- PythonSQLAzureData engineeringSparkDatabricksPySpark
Requirements
- Have at least 1.5 years of commercial experience in data engineering.
- Have strong Python skills for data processing.
- Have hands-on experience with Databricks.
- Have experience working with Azure.
- Have experience building enterprise-level data pipelines.
- Have good SQL skills.
- Be fluent in English for collaboration across international teams.
- Nice to have: experience with agentic AI, AI agents, or LLM-based solutions.
- Nice to have: knowledge of Apache Spark or PySpark optimization.
- Nice to have: familiarity with Lakehouse architecture, Delta Lake, or Unity Catalog.
- Nice to have: experience with orchestration tools such as Azure Data Factory, Databricks Workflows, or Apache Airflow.
- Nice to have: experience with CI/CD pipelines using Azure DevOps or GitHub Actions.
Responsibilities
- Design, build, and maintain enterprise-level data pipelines on Azure and Databricks.
- Develop data processing logic in Python, including PySpark.
- Ensure data quality, reliability, and performance of data workflows.
- Optimize pipelines for performance and cost efficiency.
- Translate business requirements into well-structured technical tasks and deliver them end-to-end.
- Write clean, tested, and well-documented code.
- Participate in code reviews.
- Collaborate with team members and stakeholders to solve data challenges.
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