Data Analytics Engineer

• Design, develop, and maintain scalable data pipelines using tools like Power BI, SQL, and Python.

• Build and optimize data models to support reporting and analytical needs.

• Clean and transform data using Power Query (M language).

• Write DAX measures and calculated columns to enable meaningful insights.

• Collaborate with analysts and business users to understand reporting requirements.

• Validate data accuracy and resolve mismatches or inconsistencies.

• Develop and apply data validation rules to ensure consistency and integrity.

• Optimize ETL processes for performance, reliability, and scalability.

• Monitor data pipeline health and troubleshoot issues during refresh or transformation.

• Maintain clear documentation for data models, business logic, and transformation steps.

• Authorized to build and manage dataflows, datasets, and models within the business intelligence platform.

• Authorized to develop and deploy analytical dashboards for internal business units.

• Authorized to propose improvements to data models, queries, and reporting processes for better performance and accuracy.

Qualification

Bachelor's Degree in Computer Science, Engineering, or related field

Education

BSc or higher in Data Analytics, Information Systems, or equivalent

Total Years of Experience

2 - 3 years

Years of Relevant position

Minimum 1 year in data analytics

Professional Certification

Power BI, Microsoft Fabric, SQL, Python or similar (preferred)

Work Experience (Previous work Industries)

Construction, Engineering

Language

Fluent in English

Computer Skills

Power BI, SQL, DAX, M, Python, Excel, Fabric