Data Engineer

Mind Detect; Western Cape; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

A leading company in the fintech space is seeking a Data Engineer to enhance their payment data infrastructure. This role involves architecting scalable data systems, collaborating with teams, and ensuring data integrity and compliance. Ideal candidates will have a strong background in data engineering and a passion for innovation in a dynamic environment.

Benefits

Equity in the business

Generous leave/solid work-life balance

Great remuneration package

Remote working

Plenty of perks

Strong professional development

An open, international and inclusive culture

Advanced equipment/technology

Qualifications

• 3+ years of data engineering experience.
• Strong experience with data pipelines and relational databases.
• Experience with data modelling and building ETL pipelines.

Responsibilities

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

Skills

Data modelling

ETL pipelines

Data architecture

Node.js

Data pipelines

Relational databases

Kafka

MongoDB

Machine Learning

Education

Bachelor’s degree in Computer Science

Job description

Our scaling payments platform client is seeking a Data Engineer to join their world-class Engineering team located in Cape Town (hybrid). 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
• Experience with node.js/Javascript
• 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

Benefits

• Equity in the business
• Generous leave/solid work-life balance
• Great remuneration package
• Remote working
• Plenty of perks
• Strong professional development
• 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.