The Analytics Engineer plays a key role in connecting the enterprise data platform with business intelligence delivery, designing and maintaining data structures, and leading the development and maintenance of the Enterprise Data Catalogue.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or related discipline.
- Demonstratable experience in analytics engineering, data engineering, or BI development.
- Proficiency in SQL and experience with data warehousing, schema design, and data modelling.
- Strong understanding of modern cloud-based data platforms and architectures.
- Hands-on experience with Snowflake or an equivalent enterprise data platform.
- Familiarity with modern transformation frameworks (e.g., dbt, Data Factory, or equivalent).
- Experience supporting BI environments such as Power BI, Tableau, or Looker.
- Understanding of metadata management, data governance, and CI/CD principles.
- Exposure to data catalogue or lineage tools.
- Strong collaboration and communication skills, working effectively across technical and business teams.
- Ability to keep up to date with technology and apply it to the business strategic plan.
- Ability to achieve results independently or while working with others.
- Excellent interpersonal and communication skills, with the ability to communicate effectively with end-users, management, and staff.
- Ability to handle multiple priorities involving internal customer requests and demands.
- Ability to excel in a cross-organisational, cross-cultural, global team environment.
- Ability to handle special assignments promptly and professionally.
- Sets a high standard of ethics, professionalism, and competency.
Benefits
- Competitive compensation program
- Career development platform
- Stability, longevity, and growth