Senior Data Engineer

Appliscale is looking for a Senior Data Engineer to join our team and contribute to the development of scalable data ecosystems. You will play a key role in architecting high-performance solutions that drive data-informed decision-making across our organization.

Key responsibilities

• Design, build, and optimize scalable data pipelines to support our Data Foundation ecosystem.
• Implement robust data models that ensure accuracy, scalability, and long-term usability.
• Automate workflows to enhance processing efficiency and reduce manual intervention.
• Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
• Ensure data quality, governance, and compliance with regulatory standards such as GDPR and CCPA.

Requirements

• Minimum of 5 years of commercial experience in data engineering or a related field.
• Proficiency in Python for data processing and analysis tasks.
• Hands-on experience with DBT and Airflow.
• Commercial experience using PySpark and Databricks.
• Strong knowledge of AWS cloud infrastructure.
• Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field.

What we offer

• Opportunity to work on complex, large-scale data engineering projects.
• Influence over engineering standards, infrastructure, and organizational best practices.
• A collaborative environment that values professional growth and technical excellence.
• Exposure to cutting-edge tools and methodologies in the data engineering space.