Senior Data Engineer (Aws & Pyspark)

Digis Corp; Gauteng; On-site; ZAR 800 000 - 1 200 000; Full time

Job summary

A European tech company is seeking a Senior Data Engineer to enhance their data infrastructure for a hearing health initiative. The ideal candidate has over 5 years of Data Engineering experience and expertise in AWS and PySpark. This long-term role involves working closely with the VP of Technology in a supportive environment focused on impactful innovation.

Benefits

Supportive work environment

Opportunity to make a real impact

Qualifications

• 5+ years of experience in Data Engineering.
• 3+ years of experience with AWS.
• 2+ years of Python (PySpark) experience.

Responsibilities

• Build scalable, production-grade data infrastructure on AWS.
• Collaborate with the VP of Technology on data workflows.

Skills

Data Engineering

AWS

Python (PySpark)

SQL / NoSQL databases

Job description

Digis is a European company with employees.

Founded 9 years ago, it has grown from a startup into a reliable partner for clients.

We collaborate directly with clients' teams and often make business trips.

Digis is looking for a Senior Data Engineer (AWS + PySpark) to join a long-term project—a mission-driven company in the hearing health industry.

You'll work closely with the VP of Technology to build scalable, production-grade data infrastructure and workflows on AWS.

About the project

This South Africa-based company combines product design and tech innovation to deliver industry-leading hearing technology—from detection and diagnosis to intervention.

Backed by $M in investment, it maintains a strong product mindset and engineering culture.

Requirements

• 5+ years of experience in Data Engineering
• 3+ years of experience with AWS
• 2+ years of Python (PySpark)
• Hands-on experience with SQL / NoSQL databases (PostgreSQL, MySQL, DynamoDB)

Why is this role exciting

• Work directly with the VP of Technology (ex-Accenture)
• Mission-driven company with a real impact on people's lives
• Modern AWS-based data stack
• Long-term full-time engagement
• Supportive and employee-friendly environment

Interested? Let's talk!

Please send your CV and briefly confirm:

Have you worked with PySpark & AWS in commercial projects?