Senior Data Engineer (Snowflake, Dbt)

PBT Group; Cape Town; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading data solutions company in Cape Town seeks a Senior Data Engineer for a cloud migration initiative centered on Snowflake. The successful candidate will have strong expertise in dbt, AWS, Airflow, Python, and advanced SQL. Responsibilities include designing and optimizing data pipelines and supporting data migration efforts. This role requires 5+ years of experience and is ideal for those passionate about modern data ecosystems.

Qualifications

• 5+ years of professional experience as a Data Engineer.
• Proven hands-on experience with Snowflake, dbt, AWS, Airflow, and Python.
• Advanced SQL development and optimization skills.

Responsibilities

• Design, develop, and maintain data pipelines and transformation workflows.
• Lead and support data migration initiatives to Snowflake within an AWS environment.
• Implement data quality, lineage, and performance monitoring standards.

Skills

dbt

AWS

Airflow

Python

Advanced SQL

Education

Bachelor’s degree in Computer Science

Tools

Docker

Kubernetes

Job description

We are looking for a highly skilled Senior Data Engineer to join our team for a cloud migration initiative centered on Snowflake. The ideal candidate will have strong expertise in dbt, AWS, Airflow, Python, and advanced SQL. You will play a key role in building, automating, and optimizing data pipelines to ensure high performance and reliability in a modern, cloud-based data ecosystem.

Key Responsibilities

• Design, develop, and maintain data pipelines and transformation workflows using dbt and Airflow.
• Develop and optimize complex SQL queries for data extraction, transformation, and analytics.
• Lead and support data migration initiatives to Snowflake within an AWS environment.
• Collaborate with architects, analysts, and business teams to ensure alignment on data requirements.
• Implement data quality, lineage, and performance monitoring standards.
• Leverage Python for data automation, validation, and process orchestration.
• Contribute to continuous improvement and DevOps practices within the data engineering environment.

Skills & Experience Required

• 5+ years of professional experience as a Data Engineer.
• Proven hands-on experience with Snowflake, dbt, AWS, Airflow, and Python.
• Advanced SQL development and optimization skills.
• Strong understanding of ETL/ELT, data modeling, and data warehousing principles.
• Familiarity with CI/CD pipelines, version control (Git), and infrastructure as code.
• Experience with cloud-based architecture and modern data stacks.
• Strong analytical thinking and problem-solving ability.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Certifications in AWS, Snowflake, or dbt are advantageous.
• Experience with containerization (Docker, Kubernetes) is a plus.

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