Student Data Engineer - Summer Internship
The opportunity
As a student data engineer intern at Linesight, you’ll join a collaborative, culturally diverse, and passionate team that thrives on delivering real impact through innovation and technology. You’ll gain hands-on industry experience, broaden your technical and analytical skillset, and expand your professional perspective. We’ll support and empower you to take meaningful responsibility from day one—helping you grow both personally and professionally. At Linesight, trusted relationships—both with our people and our clients—are at the heart of everything we do.
In this role you will:
- Develop, test, and maintain scalable data pipelines and ETL processes across structured and unstructured data sources
- Work on machine learning and large language model (LLM) applications for automated data cleaning, classification, and enrichment
- Design and build lightweight front-end applications or dashboards that utilize previously collected and processed data
- Engage with data governance processes and frameworks to ensure accuracy, quality, and consistency
- Perform exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights
- Collaborate with business subject matter experts (SMEs) to identify opportunities for new data products and automation use cases
- Ensure compliance with data privacy regulations, including working under the ISO27001 framework
- Participate in digital transformation initiatives, contributing to the evolution of Linesight’s data strategy from its early phases
- Assist with documentation of data flows, processes, and models to ensure transparency and reproducibility
- Operate within the Agile workflow and contribute to each sprint's planning.
- Undertake demonstrations of current product capabilities for end-users and other stakeholders.
We would love to hear from you if you:
- Are currently pursuing a Bachelor’s or Master’s degree in Business Data Science, Computer Science, Information Systems, Engineering, or a related field
- Have experience using Git and GitHub for version control and collaboration
- Are proficient in Python, Java, Scala, or other programming languages
- Have working knowledge of SQL and relational databases
- Have exposure to data visualization tools such as Power BI, Tableau, or Streamlit
- Are curious about real-world applications of machine learning and generative AI in business operations
- Communicate clearly and enjoy working with both technical and non-technical stakeholders
- Are detail-oriented and passionate about data quality, integrity, and security
- Have basic understanding of conventions within the construction/infrastructure/utility industries (Desirable).
- Are eager to learn, adapt quickly, and contribute to a fast-growing data engineering team
At Linesight, we believe that our success is tied to the success of our employees, and we are committed to creating a workplace that is fair, equitable, and inclusive for everyone. We understand that creating an environment where all employees have an equal opportunity to thrive requires a concerted effort across every stage of their time with us, from hiring and onboarding to promotion, career growth, and development.
As part of this commitment, we have implemented a range of policies and initiatives to promote diversity, equity, and inclusion (DE&I). This starts with our attraction pipeline and accessible job descriptions, designed to attract a broad range of candidates, and continuing throughout the employee life cycle with DE&I checks built in at every stage. Fairness, consistency, and transparency are the core principles for all our hiring, salary increase, and promotion decisions with built-in gender pay gap checks. Employee and family-friendly policies also enhance inclusion and equity in our teams.
About Corporate Services
An extensive range of corporate services expertise is required for an organisation of our scale and reach to be successful, and we have fantastic teams of professionals across a range of functions such as tax and finance, marketing, operations, and people and organisational development. Whether at the earliest stages of your career, or an experienced professional, we are committed to nurturing, supporting, mentoring, and stretching our people, so that you can maximise your potential and meet your career aspirations in your field of expertise.
Life at Linesight
