Data Engineer

Mind Detect; South Africa; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Equity in the business

Generous leave

Solid work-life balance

Great remuneration package

Plenty of perks

Advanced equipment/technology

Job summary

A leading company in the payments sector is seeking a Data Engineer to join their dynamic team in Cape Town or work remotely. The successful candidate will be responsible for architecting and enhancing data infrastructure, ensuring scalability and efficiency. Ideal for someone with a strong background in data systems and a passion for innovation, this role offers significant growth and professional development opportunities.

Qualifications

• 3+ years of data engineering experience.
• Experience with real-time and batch processing techniques.
• Strong first-hand experience with relational databases.

Responsibilities

• Design, build, and optimise data architecture and pipeline systems.
• Collaborate with teams to implement data engineering solutions.
• Lead planning and implementation of data management strategies.

Skills

Data modelling

ETL pipelines

Data warehousing

Data architecture

Machine Learning

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Software Engineering

Bachelor’s degree in Electrical Engineering

Bachelor’s degree in Mathematics

Tools

Oracle

Postgres

SQL Server

MySQL

Kafka

MongoDB

Job description

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Direct message the job poster from Mind Detect

Our scaling payments platform client is seeking a Data Engineer to join their world-class Engineering team located in Cape Town (hybrid) or SA (remote). Due to their unique market positioning, and strong backing, they are set for high growth and innovation in the coming years.

Reporting to the Director of Engineering, this Data Engineer will focus on architecting and enhancing complex payment data infrastructure, prioritising scalability, stability, and efficiency. This role requires a deep understanding of data system architecture to innovate and improve existing frameworks, ensuring they meet evolving business demands. The successful candidate will liaise with various business units, translating complex data systems into actionable insights and strategic solutions.

The ideal candidate will have a background in one of the following domains: payments, fintech, FS, e-Commerce or a business processing high volumes of transactional data.

Given the fact that this is a younger company, the environment is highly dynamic and fast-paced. Your working mentality must be one of adaptability, resilience and passion. This is a fantastic company to work for with truly vast amounts of personal and professional upside.

Responsibilities

• Design, build, and optimise data architecture and pipeline systems to support business objectives.
• Collaborate with cross-functional teams to identify and implement the most suitable data engineering solutions.
• Develop and maintain scalable and reliable data pipelines that can handle high volumes of data from various sources.
• Learn and understand a broad range of data resources and know when, how, and which to use and which not to use.
• Coordinate with different departments to ensure the seamless integration of data systems into the company's broader technology infrastructure.
• Lead the planning and implementation of data management strategies to ensure data accuracy, availability, durability and security.
• Establish and enforce guidelines for data handling and processing to maintain data integrity and compliance with data privacy regulations.
• Continuously monitor, test, and improve the performance of data systems and databases.
• Implement efficient data storage practices and optimise data retrieval processes.
• Manage and own the entire data processing system (internally, as well as interfacing with other teams or third party services), provide advice on any necessary infrastructure changes
• Participate in building machine learning models, deliver analyses and insights to support business decision making

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics or a related field, or equivalent experience from a top-tier university
• 3+ years of data engineering experience
• Experience with data modelling, warehousing and building ETL pipelines, utilising realtime and batch processing techniques
• A background in one of the following domains: payments, fintech, FS, e-Commerce or a business processing high volumes of transactional data.
• Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL
• Experience with Kafka and MongoDB
• Strong business mindset and ability to grasp business requirements from stakeholders
• Knowledge of Machine Learning is a plus
• Equity in the business
• Generous leave/solid work-life balance
• Great remuneration package
• Plenty of perks
• An open, international and inclusive culture
• Advanced equipment/technology

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This position is open to people already eligible for work in South Africa

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About us

We're a dedicated recruiter bringing together the brightest talent with organisations creating cutting-edge technology to change the world for the better.

We partner with technology providers at the forefront of meaningful innovation. And we’re here for talented individuals who are passionate about using their skills to drive positive change.

Mind Detect provides exceptional recruitment services to businesses who are leading the way in Data, Machine Learning and AI-driven technologies throughout Europe, the US and Asia.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Software Development and Financial Services

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