Overview

Job Description: Engineer – Quality Assurance

Location: Abu Dhabi

About Presight

Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region's leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.

The Opportunity

We are seeking a Data Tester with strong experience in data validation, data quality, and ETL/ELT testing within a modern cloud data platform. The role will focus on validating data pipelines, transformations, and dimensional models built on Microsoft Fabric (Lakehouse/Warehouse), ensuring data accuracy, reliability, and readiness for analytics and reporting.

Responsibilities

Key Responsibilities:

Functional

Design and execute end-to-end data testing for Fabric-based data pipelines
Validate data ingestion into Fabric Lakehouse and Warehouse layers
Perform source-to-target reconciliation (row counts, aggregates, checksums)
Validate data transformations implemented via Fabric Data Factory Gen2, Dataflows, Spark Notebooks (PySpark)
Validate dimensional data models, business rules, and derived metrics
Ensure consistency of KPIs across analytical and reporting layers
Define and execute data quality checks (completeness, accuracy, consistency, timeliness)
Validate data lineage, metadata, and governance artifacts in Microsoft Purview and MDM systems
Support ongoing data quality monitoring and issue detection
Develop and maintain automated data validation using SQL and Python or PySpark
Support performance, regression, UAT, and production data validation
Collaborate with Data Engineers, BI teams, and Analysts to track and resolve defects
Maintain test documentation, data quality metrics, and release readiness reports
Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.

Qualifications

Requirements:

Bachelor's Degree in Artificial Intelligence, Computer Science, Business Analytics, Engineering or related field.
6+ years of overall QA / testing experience, with 4+ years focused on data testing, including migration, ingestion (batch and API), ETL/ELT, and data quality testing
Strong understanding of data warehouse concepts and analytics data flows
Advanced SQL for data validation and reconciliation
Experience testing data on Microsoft Fabric (Lakehouse / Warehouse)
Hands-on testing of: Fabric Data Factory Gen2 pipelines, Dataflows, Spark-based transformations (PySpark understanding)
Strong knowledge of dimensional modeling and SCD Type 1 & 2
Familiarity with Microsoft Purview for lineage, metadata, and governance validation
Experience with Python or PySpark for automated data testing
Experience testing Power BI semantic models, measures, and dashboards
Familiarity with CI/CD pipelines for data platforms

Ideally, you'll also need

In-depth market and domain knowledge
A passion for constant improvement
An innovative and creative approach to problem-solving
Excellent communication skills

What We Look For

Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.

What Working At Presight Offers

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career: Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

Engineer - Quality Assurance