Senior Data Engineer

BigTalent; Cape Town; Hybrid; ZAR 800 000 - 1 000 000; Full time

Job summary

A leading technology company is seeking a Senior Data Engineer to join their data team. This hybrid role offers the flexibility to work mostly from home, focusing on designing high-performance data pipelines and ensuring data governance. Candidates should have over 5 years of data engineering experience and strong AWS skills. This role provides an opportunity to lead and mentor within a supportive team culture, leveraging the latest tools in a dynamic environment.

Benefits

Work-from-home flexibility

Access to latest tools in data engineering

Supportive team culture

Qualifications

• 5+ years experience in data engineering, with at least 2 years in a senior capacity.
• Expertise in AWS cloud services, especially Redshift.
• Strong knowledge of CI/CD pipelines and Infrastructure-as-Code.

Responsibilities

• Design and maintain high-performance data pipelines.
• Build ETL frameworks for data ingestion and transformation.
• Ensure data quality and compliance with governance standards.

Skills

Data engineering

AWS cloud services

DevOps knowledge

SQL experience

NoSQL experience

Tools

Airflow

AWS Glue

Redshift

Terraform

CloudFormation

Job description

Senior Data Engineer (Mostly remote, with occasional in-office rotation)
Flexible Location | Cloud & Data-Driven Environment | Strategic Engineering Role

Are you a data engineer who thrives on solving complex challenges and building scalable, cloud-native infrastructure? Our client is looking for a Senior Data Engineer to join their growing data team and play a key role in shaping the future of data architecture and engineering.

This hybrid role offers the flexibility to work from home most of the time, with occasional office rotations. You'll collaborate with data scientists, analysts, machine learning engineers, and DevOps professionals to build data systems that drive smarter decision-making across the business.

What Youll Be Doing

Designing and maintaining high-performance data pipelines using tools like Airflow, AWS Glue, and Redshift

Building ETL frameworks for data ingestion and transformation across multiple sources

Creating and managing data infrastructure on AWS using Terraform, CloudFormation, and CI/CD practices

Ensuring data quality, security, and compliance with governance and privacy standards

Partnering with stakeholders to align architecture with business priorities

Mentoring junior engineers and contributing to the broader data engineering strategy

What Youll Bring

5+ years experience in data engineering, with at least 2 years in a senior capacity

Expertise in AWS cloud services, including Redshift

Strong DevOps knowledge: CI/CD pipelines, Infrastructure-as-Code, and automation

Solid understanding of data governance and regulatory compliance (e.g., POPIA)

SQL and NoSQL database experience

Exposure to Data Mesh concepts (practical or theoretical)

Bonus Points For:

AWS certification(s)

Industry experience in financial services, banking, fintech, or retail

Familiarity with real-time stream processing frameworks

Why Apply?

High-impact role in a modern, cloud-first data environment

Work-from-home flexibility with supportive team culture

Access to the latest tools and technologies in data and cloud engineering

Opportunity to lead, mentor, and innovate within a forward-thinking data team