Graduate Data Engineer

Description

At Aiimi, we’re seeking a Graduate Data Engineer to join our dynamic team and develop their career in data-driven innovation. You will support projects for some of our major clients, helping to improve outcomes for their customer base through reliable, well-structured data solutions. Working closely with Senior Data Engineers, Data Scientists, and client teams, you will support the design, development, and maintenance of data pipelines and infrastructure that enable advanced analytics and AI solutions. This role is ideal for a recent graduate or early-career professional with a strong interest in data engineering, a willingness to learn, and enthusiasm for working in a collaborative, fast-paced consultancy environment.

Requirements

Essential:

• A relevant degree, apprenticeship, bootcamp, placement, internship, or personal/project experience in data engineering, computer science, software development, mathematics, analytics, or a related field.
• Foundational knowledge of SQL and at least one programming language, such as Python.
• Some exposure to data platforms or tools such as Databricks, Spark, or similar technologies through study, projects, or work experience.
• Basic understanding of ETL/ELT concepts and how data moves between systems.
• Familiarity with relational databases and an interest in learning about modern data storage approaches.
• Awareness of cloud platforms such as AWS, Azure, or GCP, and enthusiasm to develop practical experience with cloud data services.
• Strong problem-solving skills, curiosity, and the ability to learn quickly with support and guidance.
• Good interpersonal skills, with confidence to ask questions, collaborate with others, and comfortable in client-facing environments.  

Desirable:

• Academic, project, or self-led exposure to big data technologies such as Hadoop or Spark.
• Awareness of containerisation tools such as Docker or orchestration concepts such as Kubernetes.
• An interest in data modelling, data warehousing, and analytics platforms.
• Awareness of data security, privacy, and compliance principles.
• Relevant coursework, certifications, personal projects, or portfolio work in data engineering, cloud technologies, or software development.