Data Engineer

Job Description

Key responsibilities

• Design, build, and maintain ETL pipelines for large volumes of imagery and video data.
• Conduct exploratory data analysis to understand dataset quality, coverage, and gaps.
• Clean, structure, and organise datasets so they’re readily usable by the ML team.
• Build fast prototype visualisations to surface data issues and communicate findings to the team.
• Write and optimise SQL to query, transform, and manage data at scale.
• Collaborate closely with ML engineers to understand what “training-ready” data actually requires.
• Maintain documentation of datasets, pipelines, and data quality processes.

Your experience and skills

• Tertiary qualification in computer science, engineering, data science, or a related discipline.
• 3+ years of experience in data engineering, data analysis, or a related field, ideally working with imagery or video data.
• Demonstrated experience building ETL pipelines, ideally with image or video data.
• Strong SQL skills, with experience managing and querying large datasets.
• Comfortable prototyping quickly in Python, using libraries such as Pandas, Matplotlib, or similar for exploratory analysis and visualisation.
• Experience working with unstructured or semi-structured data (images, video, sensor data).
• Understanding of what makes a dataset ML-ready — labelling, balance, quality checks.
• Eligible for security clearance.

Desirable:

• Exposure to computer vision or ML data pipelines specifically.
• Experience with cloud data storage/processing (e.g. S3, BigQuery, or similar).
• Familiarity with OpenCV or similar image-processing libraries.
• Experience with data versioning or annotation tooling.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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