Senior Analytics Engineer

About Cognita

About the role

Role responsibilities

• Design and maintain scalable transformation pipelines, analytical data models, and KPI frameworks.
• Lead semantic layer development and implement testing, data quality controls, and governance standards.
• Partner with Data Engineering, Data Architecture, Business Insight, and Customer Insight teams.
• Translate business needs into high-performing models for reporting, analytics, self-service BI, and emerging AI solutions.
• Evolve analytics engineering and modeling standards and keep analytical assets scalable, performant, and aligned with business needs.

Experience and technical requirements

• At least five years in analytics engineering, data engineering, or a similar data-focused role.
• Hands-on Databricks expertise, including Lakeflow, Unity Catalog, Delta Lake, Git integration, and CI/CD deployment practices.
• Advanced SQL and Python, strong dimensional modeling, and thorough understanding of data quality, testing, and governance.
• Experience with Power BI or similar business intelligence tools is essential.
• Ability to translate complex business requirements into trusted models for multiple stakeholders and use cases.
• Comfort working in agile, engineering-led environments and building relationships with technical and non-technical colleagues.

Desirable qualifications

• A degree in Data, Computer Science, Statistics, Economics, or a related field is desirable.
• Databricks and Microsoft Power BI certifications are desirable.

Working arrangement

• Four days per week in the Dubai office and one day working from home.

Safeguarding and application

• Applications close Sunday, 18 October 2026.
• Appointments are subject to safer recruitment checks, including an enhanced DBS check.
• The employer is committed to safeguarding children and young people and to equal opportunity.