Data Engineer
Summary
Data engineer who designs and maintains data infrastructure for analytics and AI: building data pipelines, transformations, databases, and data models, and monitoring data quality, performance, and security. Core technologies are SQL, Python, ETL, cloud platforms, and databases.
Design and maintain data infrastructure that makes reliable, usable information available for analytics and AI.
Key Responsibilities
- Build data pipelines, transformations, databases, and data models.
- Monitor data quality, performance, availability, and security.
- Support analytics and AI teams with clean, well-structured datasets.
Qualifications
- Degree in Computer Science, IT, Engineering, or related field.
- 3+ years of data engineering experience.
- Strong SQL and Python skills; experience with ETL, cloud, and databases preferred.
Candidate Pre-Screening Form
Interested candidates are requested to complete our Candidate Pre-Screening Form as part of the application process. The form will allow us to review your relevant experience, availability, expected hourly rate, and other information related to the position.
Shortlisted candidates will be contacted regarding the next stage of the recruitment process.