Senior Data Engineer
New
A
AppliscaleGaming data
Workplace type: remote; Locations: Kraków, ul. Michała Żyszkowskiego, Kraków, Country code: PL, Availability to attend afternoon/evening meetings is required; most of the team is located on the US West Coast (LA and Seattle).ContractSenior
Salary26,000 - 30,000 PLN per month
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Job Details
- Experience
- Minimum of 5 years commercial work experience in data engineering or a related field
- Required Skills
- AWSPythonAirflowdbtDatabricksGenerative AIPySpark
Requirements
- Have a minimum of 5 years of commercial work experience in data engineering or a related field.
- Hold a bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
- Demonstrate proficiency in Python for data processing and analysis tasks.
- Have hands-on experience with DBT (Data Build Tool) and Airflow.
- Have commercial experience using PySpark and Databricks.
- Demonstrate proficiency in AWS cloud infrastructure.
- Be available for afternoon/evening meetings because most of the team is located on the US West Coast.
- Experience with ML Operations and GenAI pipelines and infrastructure is a nice to have.
- Experience in the gaming industry, particularly with online multiplayer games, is a nice to have.
- Experience working with cross-discipline organizations that build data products is a nice to have.
- Experience mentoring and guiding other engineers is a nice to have.
Responsibilities
- Design, build, and optimize scalable data pipelines supporting insight into the Data Foundation ecosystem.
- Design and implement data models that capture a complete ecosystem view of internal customer experiences.
- Architect and implement robust, maintainable, high-performance data solutions.
- Automate workflows to reduce manual intervention and improve data processing efficiency.
- Optimize query performance and resolve pipeline bottlenecks.
- Evaluate and adopt tools, frameworks, and methodologies to advance data engineering capabilities.
- Support cost optimization through scalable and efficient data solutions.
- Ensure data quality, governance, and compliance with regulatory standards such as GDPR and CCPA.
- Contribute to infrastructure, craft standards, tooling, and organizational best practices.
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