Operations Automation Engineer Intern

We are seeking a talented and motivated Operations Automation Engineer Intern to join our team and support our process automation initiatives. As an intern, you will work closely with our development team to create, enhance, and maintain Python-based automation solutions. You will have the opportunity to gain practical experience in a professional environment while contributing to real-world projects. This job posting is open for H2 2026 internship applications.

Responsibilities

Planning: Work with the operations team to understand business needs and design strategies that automate processes and transform data to meet those needs; Process Analysis: Analyze existing workflows to identify areas for automation and data optimization, ensuring scalability and efficiency; Implementation: Implement the designed strategies leveraging the right technical solution to meet the need for prototyping or scale, ensuring alignment with overall business goals; Rapid Prototyping: Develop and test MVPs (Minimum viable product) using traditional development and low-code tools to quickly explore new ideas and solutions; Scalable Solutions: Transition prototypes into scalable solutions that can be deployed across the organization, ensuring they meet high-impact project requirements; Low-Code Experimentation: Experiment with and integrate low-code tools to accelerate development and ensure the solutions are adaptable and efficient; Autonomous Development: Take full ownership of projects, working independently while reporting to the operations team. Drive initiatives that directly influence the company’s growth; Cross-Functional Collaboration: Engage actively with cross-functional teams to ensure strategies and solutions align with operational goals and are successfully integrated; Continuous Improvement: Continuously research new technologies and methods, staying ahead of trends to enhance processes and drive innovation.

Requirements

Experience or strong interest in designing automation strategies and data transformation; Proven experience in rapid prototyping and MVP development; Strong background in data transformation and manipulation; Flexibility with SQL, Java, and Python, with the ability to navigate and integrate cross-platform processes; Ability to integrate APIs into solutions, ensuring seamless data flow and system connectivity; Comfortable experimenting with low-code tools and platforms; Self-starter with the ability to work autonomously and take ownership of projects; Ability to independently research and implement new technologies; Excellent problem-solving skills and a resourceful approach to challenges; Experience working closely with operations or cross-functional teams; Must be open to self-learning and continuous skill development; Demonstrated use of Generative AI tools (e.g. ChatGPT, Cursor, Claude) to develop new or improve workflows, enhance productivity, and drive efficiency at scale.

Benefits

Career growth opportunities to take on greater challenges that help you realise your ambitions; Be part of a winning team on a journey to global scale; Competitive compensation based on performance; Candid, open, and collaborative culture where feedback is valued.