Quality Assurance Engineer - Data

Title: Quality Assurance Engineer - Data
Reports to: Team Lead, Data
Department: DevOps
Location: Kyiv, Ukraine – Remote
Term: Full Time

About Atlas Technica

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Position Overview

We are seeking a Data Quality Engineer to establish and strengthen quality assurance across Atlas Technica’s data and business intelligence solutions. As the first dedicated Data QA Engineer on the team, this individual will play an important role in developing testing standards, quality controls, and repeatable QA processes across ETL pipelines, Data Warehouse solutions, Power BI, and embedded reporting.

The Data Quality Engineer will validate data accuracy, completeness, consistency, security, and business logic across the full data lifecycle—from source systems and integration processes through semantic models and client-facing reporting. This role will work closely with Data Engineers, Power BI Developers, and business stakeholders to identify quality risks early and improve release readiness.

The successful candidate will combine strong SQL and data-testing expertise with analytical thinking, attention to detail, clear documentation, and the ability to establish quality practices within an evolving data environment.

Position Responsibilities:

• Define and implement QA processes, testing standards, quality controls, and release gates for Data and Business Intelligence solutions
• Design and execute test plans across ETL and ELT pipelines, Data Warehouse solutions, Power BI reports, and embedded reporting applications
• Validate data accuracy, completeness, consistency, transformation logic, and business rules across source systems, data pipelines, semantic models, and reporting layers
• Perform source-to-target validation, data reconciliation, integration testing, regression testing, and end-to-end testing
• Test Power BI reports, semantic models, DAX calculations, Power Query transformations, dashboards, and reporting functionality
• Validate complex KPIs, business metrics, calculations, aggregations, and reporting logic against defined business requirements and expected outcomes
• Validate Row-Level Security, customer data isolation, access controls, and other security-related functionality within embedded analytics solutions
• Investigate data-quality issues, perform root cause analysis, document defects, and collaborate with technical teams through resolution and validation
• Participate in requirements reviews, solution-design discussions, and data-model validation to identify quality risks early in the development lifecycle
• Create and maintain test plans, test cases, defect reports, testing procedures, QA metrics, and supporting quality documentation
• Partner closely with Data Engineers, Power BI Developers, and business stakeholders to improve data quality and release readiness
• Drive continuous improvement of QA practices and promote a quality-first approach across data and analytics development

Requirements:

• 5+ years of overall quality assurance experience across Software QA, Automation QA, Data QA, or other quality-focused roles, including 3+ years of experience in Data QA, ETL testing, Data Warehouse testing, or BI testing
• Demonstrated experience establishing QA processes, test strategies, testing standards, or quality-control practices
• Strong SQL skills with the ability to develop complex queries for data validation, reconciliation, troubleshooting, and testing
• Experience testing ETL/ELT pipelines, data transformations, and integration processes
• Strong understanding of Data Warehouse concepts and dimensional modeling, including star and snowflake schemas
• Experience testing Power BI reports, semantic models, dashboards, DAX calculations, and related reporti…