Senior Data Engineer at KingMakers

Cape Town, Western Cape, South Africa -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

PySpark, Python, SQL, Delta Lake, Data Quality Management, CI/CD, Data Governance, Data Lineage, Azure, Databricks, Kafka, DBT, Communication, Data Strategy, Mentoring, Architecture

Industry

Gambling Facilities and Casinos

Description

At KingMakers, we’re not here to follow the industry, we’re here to define it. We are a proudly homegrown African company, building the future of sports and iGaming entertainment across the continent. Since our launch in 2018, we’ve created platforms that connect millions of fans to the excitement they love through our leading brands, BetKing and SuperSportBet. From Nigeria to South Africa, we’ve rapidly grown into a powerhouse, recognized for raising standards, pushing boundaries, and shaping what’s next in our industry. Our vision is bold: to be the home where Africa plays. Collaboration, innovation, and fearless execution define our culture. Every decision is purposeful, every interaction impactful, and every product designed to serve our players and partners with excellence. We move fast, stay curious, and constantly raise the bar. Our mission is to deliver entertainment with integrity, innovation, and impact — because great products can change how entire communities experience play. As a Senior Data Engineer, you will be designing, implementing and owning data engineering solutions across global projects and products. Your role involves architecting and building scalable data pipelines, optimizing storage systems, and enhancing data infrastructure performance. You'll tackle complex technical challenges, proposing innovative solutions. Working closely with cross-functional teams, you'll ensure data quality and accessibility while contributing to the company's overall data strategy. You'll also have opportunities to mentor junior engineers and influence best practices in data engineering across multiple squads. 5+ years of professional software development experience in data engineering, building and maintaining data platforms. Expert proficiency working with PySpark, Python, SQL, and Delta Lake. Proven experience in managing data quality, including implementing monitoring, validation, and alerting mechanisms to ensure reliable and trustworthy data Experience in designing and implementing efficient, scalable data pipelines utilising CI/CD, optimizing query performance and reducing costs and tuning data platforms to ensure scalability in large-scale data environments. Solid understanding of data governance, data lineage, and data quality frameworks, and their application within modern data platforms Ideally with experience of Working with cloud-based data platforms, ideally within the Azure ecosystem (e.g., Azure Data Lake, Databricks), and familiarity with modern event-driven architectures. Exposure with real-time and streaming data technologies, such as Kafka Experience with DBT for data transformation and modelling Strong communication skills, with the ability to clearly articulate technical concepts, architectural decisions, and trade-offs between scalability, cost and reliability A proactive, ownership-driven mindset, with a strong focus on quality, continuous improvement, and raising engineering standards What you’ll do Data Quality: Contribute to initiatives that improve data quality across data products. Design and implement robust validation frameworks, data cleansing processes, and quality assurance measures to ensure accurate, consistent, and reliable data as scale. Technology: Stay up to date with emerging data engineering tools, frameworks, and methodologies. Evaluate and recommend technologies to improve data processing, storage, and analytics capabilities, while promoting best practices in internal tools and platform development. Data Engineering & Delivery: Architect, build, and operate scalable, high-performance data pipelines and platforms that support both batch and real-time use cases in production environments. Team Collaboration: Work effectively within a cross-functional team, sharing knowledge and contributing to a culture of continuous learning, engineering excellence, and innovation within the data engineering group. Business Acumen: Understand the relationship between technical solutions and business needs. Enable stakeholders to derive actionable insights aligned with business objectives. Communication: Strong ability to collaborate across teams and effectively communicate technical concepts to both technical and non-technical stakeholders, supporting data engineering initiatives. How You Do It – Our CROWNS, Our Values At KingMakers, our CROWNS values aren’t posters on the wall — they’re how we work and win together: Customer First: Build with and for our customers. Always deliver meaningful value. Raise the Bar: Take initiative, own outcomes, and push for better every time. Operate with Candor: Be open, clear, and constructive. Speak truth with kindness. We Build Together: Collaborate, share the load, and succeed as a team. No Hesitation, Never Reckless: Move boldly and responsibly. Own your risks. Speed & Iteration: Act fast, learn fast, improve fast. Progress beats perfection. Pension Fund (Liberty Life): Company-supported retirement plan with employer matching contributions. Medical Aid (Discovery Health): Company contribution towards your monthly medical cover premiums. Comprehensive Group Risk Cover: Includes life insurance, disability income protection, critical illness benefit, and funeral cover for you and eligible dependants, as per scheme rules. Performance Bonus: Discretionary bonus aligned with individual impact and overall contribution. Employee Wellness Programme (ICAS / October Health): Confidential counselling and holistic support services available to you and your immediate family. Annual Leave & Birthday Day Off: 20 working days of annual leave per year, plus one additional paid day off on your birthday. Work From Anywhere (10 Days): Up to 10 business days per year to work remotely from a location of your choice. Hybrid & Flexible Working: This role follows a hybrid model with 2 days in-office and 3 days remote, structured around team and operational needs. This position is based in Cape Town; candidates must be located there or willing to relocate. Regular in-office attendance on designated days is a core requirement of the role. Parking: Complimentary company-supported parking at our office, providing easy access to a prime professional workspace. *Eligibility for the discretionary bonus depends on the onboarding cycle and start date; employees joining after a certain point in the year may not be eligible for the 2026 cycle. KingMakers is an equal opportunity employer committed to building diverse and inclusive teams that reflect the communities and markets we serve across Africa. In line with our commitment to diversity, equity and inclusion, we encourage applications from candidates of all backgrounds and identities as our commitment to creating an environment where everyone has the opportunity to thrive. In accordance with our Employment Equity goals, preference may be given to candidates from designated groups, where appropriate.

Responsibilities

The Senior Data Engineer will be responsible for designing, implementing, and owning data engineering solutions across global projects, which includes architecting scalable data pipelines and optimizing storage systems. This role also involves working with cross-functional teams to ensure data quality and accessibility while contributing to the company's overall data strategy.