Data Engineer

External

Myhcm · Cape Town, South Africa

Full-timeOn-siteToday

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About the role

We're part of Super Group, the NYSE-listed digital gaming company behind some of the world's leading Sports and iGaming brands. At DigiOutsource, we bring passionate people and innovative tech together to create market-leading online gaming solutions. Our multidisciplinary teams are passionate about products, customer experience and security. We're empowered to achieve the ultimate in high-performance gaming experiences using the best technology available. Who we're looking for We're on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At DigiOutsource, every day is action-packed, and we expect you to bring your A-game. In return, you'll find a supportive environment where your skills can flourish, and your career can soar. Ready to become a game-changer? Supercharge your career with us and be part of something extraordinary. Why we need you We're on a mission to create extraordinary experiences for our customers, and we believe that your unique skills, passion and superdrive will help us achieve our vision. As a Data Engineer within our Fintech ecosystem, you'll focus on building and maintaining the data pipelines and processes that power our financial analytics, reporting, and decision-making. You'll work with data from diverse systems-ranging from transactional platforms to customer engagement tools ensuring it is reliable, accessible, and optimized for high-impact use. This role is essential to support our transition to modern data practices, including cloud-native architectures and real-time processing, while maintaining the continuity and stability of our on-premises operations. Your work will directly enable smarter, faster financial services and help shape the future of data in Payments.

Responsibilities

Developing and maintaining data pipelines to support real-time and batch processing.

Writing and optimizing SQL queries, stored procedures, and scripts for data processing.

Supporting ETL/ELT workflows for data integration and transformation.

Collaborating with team members to integrate data from various sources into centralized systems.

Implementing and managing data streaming solutions using platforms like Kafka or RabbitMQ.

Ensuring data quality and reliability across all pipelines and processes.

Monitoring and troubleshooting data pipelines to ensure performance and reliability.

Documenting data workflows and providing support for data-related issues.

Essential skills you'll bring to the table

The necessary skills that we require for this role include:

Bachelor's degree in computer science, Data Engineering, Information Systems, or a related field.

3-4 years of experience in data engineering or related roles.

Strong SQL skills, including querying and optimizing database operations.

Experience developing data pipelines for real-time and batch processing.

Hands-on experience with data streaming platforms such as Kafka or RabbitMQ.

Familiarity with ETL processes and tools.

Proficiency in a programming language such as Python or Java for data tasks.

Knowledge of data modelling basics for relational databases.

Attention to detail and a commitment to ensuring data accuracy and reliability.

Problem-solving skills and the ability to troubleshoot issues in data systems.

Desirable skills you've got up your sleeve

It would be great if you also have some of the following skills:

Relevant certifications (e.g., AWS Certified Data Analytics Specialty, Microsoft Certified: Azure Data Engineer, or Databricks Certified Data Engineer).

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data services.

Exposure to big data technologies such as Spark or Hadoop.

Exposure to Apache Spark, Airflow, Kafka

Knowledge of data governance and compliance standards.

Experience with data formats like JSON or Parquet.

Writing clean, modular code for data processing, automation, and integration with APIs or cloud services.

Basic understanding of containerization tools such as Docker.

Interest in learning and adopting emerging data technologies.

Our values are non-negotiables

Our culture is underpinned by core values that are linked to key behavioural competencies. Along with the below behavioural competencies, these are essential for all employees in order for you to embed in and drive our culture forward.

These competencies are:

Adaptability

Ownership and accountability

Initiating action

Resilience

Team orientation

Integrity

Innovation

What you'll get back

We offer a great variety of personal and professional benefits to help you thrive at DigiOutsource and Super Group. This includes:

We're dedicated to your supergrowth. Our comprehensive learning and development programmes give you a range of resources and opportunities to expand your skills and advance your career.

Your hard work and achievements won't go unnoticed

Data Engineer

About the role

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