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Jobs / DIGI Outsource / Data Engineer
Posted 2026-05-11

Data Engineer

Description

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.
Requirements
  • Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related field. (required)
  • 2-4 years of experience in data engineering or related roles. (required)
  • Strong SQL skills, including querying and optimizing database operations. (required)
  • Experience developing data pipelines for real-time and batch processing. (required)
  • Hands-on experience with data streaming platforms such as Kafka or RabbitMQ. (required)
  • Familiarity with ETL processes and tools. (required)
  • Proficiency in a programming language such as Python or Java for data tasks. (required)
  • Knowledge of data modelling basics for relational databases. (required)
  • Attention to detail and a commitment to ensuring data accuracy and reliability. (required)
  • Problem-solving skills and the ability to troubleshoot issues in data systems. (required)
  • Relevant certifications (e.g., AWS Certified Data Analytics Specialty, Microsoft Certified: Azure Data Engineer, or Databricks Certified Data Engineer). (preferred)
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data services. (preferred)
  • Exposure to big data technologies such as Spark or Hadoop. (preferred)
  • Exposure to Apache Spark, Airflow, Kafka (preferred)
  • Knowledge of data governance and compliance standards. (preferred)
  • Experience with data formats like JSON or Parquet. (preferred)
  • Writing clean, modular code for data processing, automation, and integration with APIs or cloud services. (preferred)
  • Basic understanding of containerization tools such as Docker. (preferred)
  • Interest in learning and adopting emerging data technologies. (nice-to-have)
Benefits
  • 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. Our innovative Performance Tool ensures you receive regular, constructive feedback, helping you to continuously improve and reach your full potential.
  • Our Employee Assistance programme offers a variety of benefits which you and your family can benefit from.
  • Free Massages On-site.
  • Free On-Site Gym.
  • Group Life Cover.
  • Funeral Fund Benefit.
  • Financial Services Assistance.
  • Employee Assistance Programme.
  • Curro School Fees Benefit.
  • Income Continuation Benefit.
  • Leadership Training.
  • Referral Bonus.
  • Medical Aid Subsidy.
  • Free Sleep Coaching.
  • On-site Barista.
  • Retirement Annuity Subsidy.
  • Team buildings.
About DIGI Outsource

DigiOutsource is a global iGaming technology and services company and part of Super Group (SGHC), the holding company behind the Betway and Spin brands. Headquartered in Cape Town, South Africa, with offices in London and Portugal, it provides software development, digital marketing, business intelligence, design and communications services that power leading online gaming brands. The company employs around 1,200 people across multiple continents. DigiOutsource was formed from the merger of the ForwardSlash and SpeakUp Communications businesses and operates as a key technology hub within Super Group.

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