Senior Data Engineer

DigiOutsource; Cape Town; On-site; ZAR 600,000 - 800,000; Full time

Benefits offered by this job

Comprehensive learning and development programmes

Free daily meals

Free on-site gym access

Medical aid subsidy

Referral bonus

Job summary

DigiOutsource is seeking a Senior Data Engineer to help design and optimize robust data pipelines essential for cloud solutions. You will lead migrations and collaborate with teams to integrate data into a unified platform, ensuring a high-performance experience.

The position requires a Bachelor’s degree in Computer Science and 5+ years of relevant experience. You will thrive in an innovative environment that promotes growth and excellence in the online gaming sector.

Qualifications

• 5+ years of experience in data engineering or related roles.
• Relevant certifications such as AWS Certified Data Analytics Specialty.
• Strong leadership and mentoring skills.

Responsibilities

• Design, develop, and optimize robust data pipelines.
• Lead efforts to migrate data to cloud lake house architecture.
• Mentor and train junior team members.

Skills

SQL expertise

Cloud data platforms experience

Data modeling expertise

Python proficiency

Hands-on with Kafka/RabbitMQ

Education

Bachelor’s degree in Computer Science or related field

Master’s degree (preferred)

Tools

AWS Redshift

Azure Synapse

Google BigQuery

Kafka

RabbitMQ

Job description

Kick-start your career in the online gaming world and experience the very latest in technology and innovation.

Who We Are

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.

Senior Data Engineer Responsibilities

• Design, develop, and optimize robust data pipelines for on‑premises and hybrid cloud environments.
• Lead efforts to migrate data and systems from on‑premises databases to a cloud lake house architecture.
• Develop scalable data models for cloud‑based storage and processing.
• Implement and manage streaming data solutions using platforms like Kafka or RabbitMQ.
• Collaborate with cross‑functional teams to integrate data from multiple sources into a unified data platform.
• Optimize query performance and database structures to meet evolving business needs.
• Build and maintain robust ETL/ELT processes to support cloud‑native architectures.
• Drive the adoption of modern data lake house technologies such as Delta Lake, Apache Iceberg, or Apache Hudi.
• Mentor and train junior team members to build their expertise in cloud data engineering.
• Stay updated on emerging cloud and lake house technologies to guide the data architecture evolution.

Essential Skills You’ll Bring To The Table

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (Master’s preferred).
• 5+ years of experience in data engineering or related roles.
• Relevant certifications (e.g., AWS Certified Data Analytics Specialty, Microsoft Certified: Azure Data Engineer, or Databricks Certified Data Engineer).
• Strong expertise in SQL, including querying, optimization, and writing stored procedures.
• Proven experience in cloud‑based data platforms such as AWS Redshift, Azure Synapse, or Google BigQuery.
• Knowledge of cloud lake house technologies (e.g., Delta Lake, Apache Iceberg, or Apache Hudi).
• Hands‑on experience with streaming platforms such as Kafka or RabbitMQ.
• Expertise in data modelling for both on‑premises and cloud‑based systems.
• Proficiency in Python, Java, or Scala for data engineering tasks.
• Experience with CI/CD practices for data pipelines in a cloud environment.
• Familiarity with data governance and security best practices in cloud environments.
• Strong leadership and mentoring skills, with experience guiding junior team members.

Desirable Skills You’ve Got Up Your Sleeve

• Experience with big data technologies such as Hadoop, Spark, or Flink, especially in a cloud context.
• Knowledge of containerization tools like Docker and orchestration platforms such as Kubernetes.
• Expertise in monitoring and observability tools for cloud data pipelines.
• Certification in cloud platforms or lake house technologies (e.g., AWS Data Analytics Specialty, Databricks Certified Data Engineer).
• Background in implementing real‑time analytics and event‑driven architectures in the cloud.
• Understanding of cost optimization strategies for cloud‑based data infrastructure.
• Experience in managing hybrid environments during migration from on‑prem to cloud.
• Hands‑on experience with serverless computing in cloud such as Lambda Functions.
• Hands‑on experience with cloud analytics platforms such as Big Query or Databricks.
• Proficiency in C# for general engineering tasks.
• Hashicorp Terraform for IaC workloads.
• Automation using shell scripts (Powershell, Bash, etc).

Core Values and Competencies

• Adaptability
• Ownership and accountability
• Initiating action
• Resilience
• Team orientation
• Integrity
• Innovation

What You’ll Get Back

• Comprehensive learning and development programmes to expand your skills and advance your career.
• Regular, constructive feedback through an innovative Performance Tool.
• Employee Assistance programme benefits for you and your family.
• Free daily meals.
• Free on‑site massages.
• Free on‑site gym access.
• Group life cover.
• Funeral fund benefit.
• Financial services assistance.
• Curro school fees benefit.
• Income continuation benefit.
• Leadership training.
• Referral bonus.
• Medical aid subsidy.
• Free sleep coaching.
• On‑site barista.
• Retirement annuity subsidy.
• Team socials.

Diversity & Inclusion

At Super Group, diversity is part of our DNA. With teams across 16 countries, 85 nationalities, and 27 languages, we champion a supportive, inclusive, and empowering environment wherever you are in the Group. It’s all about putting your experience first and ensuring honesty and fairness in all we do.

Background Check

This position requires trust and honesty; it has access to customers’ financial details. Therefore, a credit and criminal record check will be conducted, as well as a qualification verification check. By applying for this role and supplying the necessary details, you hereby grant us permission to apply for these checks. This will be done in a confidential manner and solely for the purposes of verification.