Data Engineer – Snowflake, Python & Data Modeling

About the role

We are looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines. The role focuses on leveraging Snowflake, Python, and robust data modeling techniques to support analytics and data‑driven initiatives across the organization.

Key responsibilities

• Design, develop, and optimise data pipelines using Snowflake for efficient storage and processing.
• Write and maintain Python scripts for data automation, transformation, and integration.
• Implement data models for both structured and unstructured data, ensuring performance and scalability.
• Collaborate with data scientists, analysts, and other cross‑functional teams to deliver data‑centric solutions.
• Troubleshoot and resolve data quality and integrity issues.
• Stay current with advancements in data engineering, cloud technologies, and machine learning infrastructure.
• Contribute to best practices in data infrastructure and automation.

Required profile

• 5+ years of hands‑on experience in data engineering or related roles.
• Self‑motivated with strong accountability and a solution‑oriented mindset.
• Excellent written and verbal communication skills.
• Ability to manage multiple tasks and work collaboratively in a cross‑functional environment.

Required skills

• Snowflake – data warehousing and modeling.
• Python – scripting, automation, and data integration.
• SQL – extraction, transformation, and analysis.
• Data Modeling – design of large‑scale data structures.
• ETL tools and cloud platforms (AWS, Azure, Google Cloud).
• Familiarity with Apache Spark, Kafka, and orchestration tools.