Senior BI & Data Architect — Lead Global Analytics

Idealz Holding; Dubai; On-site; AED 300,000 - 450,000; Full time

Benefits offered by this job

Competitive package with performance incentives

Opportunity to influence commercial strategy

Work in a fast-paced global team

Job summary

Idealz Holding in Dubai is searching for a senior BI & Data Engineer to lead its data strategy and build robust data frameworks. This pivotal role combines technical expertise and strong business acumen, impacting the organization’s decision-making and commercial growth.

The successful candidate will design and maintain scalable data pipelines while partnering with multiple departments. Ideal candidate should have 7–10 years of relevant experience and a degree in a related field.

Qualifications

• 7–10 years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or Commercial Analytics roles.
• Strong hands-on expertise in SQL and data modelling.
• Experience building and maintaining modern data warehouses and ETL/ELT pipelines.

Responsibilities

• Lead the organization’s BI and data strategy, ensuring data supports business growth and decision-making.
• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Consolidate data from multiple departments into a unified data environment.

Skills

SQL

Data modelling

Business Intelligence

Data Engineering

Predictive analytics

Customer analytics

Data governance

Analytics Engineering

Commercial Analytics

Stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Engineering, Statistics

Tools

Power BI

Tableau

Snowflake

AWS

Python

Job description

Idealz Holding in Dubai is searching for a senior BI & Data Engineer to lead its data strategy and build robust data frameworks. This pivotal role combines technical expertise and strong business acumen, impacting the organization’s decision-making and commercial growth.

The successful candidate will design and maintain scalable data pipelines while partnering with multiple departments. Ideal candidate should have 7–10 years of relevant experience and a degree in a related field.