The Senior Data Engineer will be responsible for designing, implementing, and maintaining robust data pipelines and infrastructure. This role requires a deep understanding of data architecture, cloud platforms, and DevOps practices to ensure scalable and efficient data systems. The ideal candidate will collaborate closely with data scientists, machine learning engineers, analysts, and DevOps teams to enable data-led decision making across the organization.
Key Responsibilities
Data Engineering
Design, develop, and optimize scalable data pipelines using tools and technologies like Airflow, AWS Glue, AWS Redshift, AWS DataZone etc.
Build and maintain ETL processes for data ingestion, transformation, and integration from various sources.
Design and implement data warehousing solutions (e.g. Redshift) for high performance analytics.
Ensure data quality and integrity through robust data validation, cleaning, and transformation techniques.
Cloud & DevOps
Architect and manage cloud-based data platforms using AWS.
Develop infrastructure-as-code (IaC) using tools like Terraform, CloudFormation and using our Cloud Native Data Platform.
Implement CI/CD pipelines for automated deployment of data pipelines and infrastructure updates.
Monitor and optimize cloud resources for performance, cost efficiency, and scalability.
Collaboration & Mentorship
Work closely with data scientists, analysts and enterprise architects to align data architecture with business needs.
Mentor junior data engineers and provide technical guidance on best practices and emerging technologies.
Collaborate with DevOps and IT teams to ensure secure, scalable and high-availability data systems.
Data Governance and Security
Implement data governance practices, including data lineage, cataloging and role based access control. Ensure compliance with data privacy regulations (e.g. POPIA, ) and internal security policies.
Perform regular audits and optimize data storage and processing for cost and efficiency.
Requirements
Key Competencies
QUALIFICATIONS
Bachelor’s degree in computer science, Data Science, Engineering or a related field.
Master’s degree preferred
Majors in Mathematics and Statistics (an Advantage)
EXPERIENCE
5+ years of experience as a data engineer, with at least 2 years in a senior role.
A minimum of 5+ years of experience in AWS technologies/services (AWS Redshift)
Proven experience in DevOps practices including CI/CD pipelines, IaC, and cloud automation.
Appropriate exposure and experience in Data Mesh (theoretical and practical)
Proficiency in SQL and NoSQL databases.
Excellent problem solving, analytical and communication skills.
Preferred:
Experience in the Financial, Banking, FinTech or Retail industry in a senior data Engineering role