Intern - Trainee Data Engineer

Job Title: Trainee Data Engineer - Intern

Location: Technology Innovation Institute, Abu Dhabi, UAE

Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.

Artificial Intelligence Cross-Center Unit

The Artificial Intelligence Cross-Center Unit is the machine learning powerhouse of TII, working in close collaboration with our other research centers to harness the full benefits of AI across our projects – and drive innovation from new computing paradigms, designing and delivering new AI methodologies, technologies, solutions, and systems that address challenging issues across multiple sectors of the economy – from technology to healthcare, cybersecurity, and government, among others.

We incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure. Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.

As a Trainee Data Engineer, you'll become part of an energetic team dedicated to building, maintaining, and enhancing data pipelines. You'll have the opportunity to work hands-on with large datasets, cloud technologies, and the latest data processing tools.

We are looking for a dedicated and hardworking trainee who is eager to learn, solve complex problems, and consistently deliver high-quality results.

Qualifications

• A Bachelor’s (BSc) or Master’s (MSc) degree in Computer Science, Software Engineering, Data Science, Analytics, or a related field.
• A solid understanding of data structures, algorithms and basic software engineering principles.
• Strong proficiency in one or more common languages (e.g., Python, C++, Scala, Java) with a focus on object-oriented programming
• Knowledge of version control systems like Git, Linux commands and Shell scripting
• Experience with data processing frameworks, ETL and data visualization tools is a plus
• Contributing to open-source projects and exposure to using LLMs in data extraction or natural language processing tasks is an advantage,

Responsibilities

• Assist in the design, development, and maintenance of data pipelines to support LLM training and inference.
• Develop well-structured, maintainable code and create comprehensive unit tests to ensure functionality and reliability.
• Work with large-scale datasets, performing data cleansing, transformation, and integration tasks.
• Help monitor data pipelines and troubleshoot issues to ensure smooth operations
• Learn and stay up-to-date on emerging data technologies and tools.

Soft skills

• Strong problem-solving skills and attention to detail.
• Excellent communication skills and the ability to work in a collaborative team environment.
• Strong analytical skills, attention to detail, and problem-solving ability.
• Strong desire to learn and grow in the data engineering field.
• Eager to learn and adapt to new technologies and methodologies as needed.
• Excellent communication skills to effectively share insights with technical and non-technical stakeholders.
• Ability to work collaboratively in a multicultural environment.