DATA QUALITY & BI QA ENGINEER

We’re looking for a Data Quality & BI QA Engineer to help us scale trusted reporting across the NCE region. You’ll ensure KPIs are consistent across reports, data values/types match requirements, and Power BI semantic models and dashboards remain reliable as our BI team. Our core stack is Power BI + Snowflake + ClickHouse, with automations in Python.

Job responsibilities:

• Conduct manual testing of BI functionality and reporting requirements (functional/nonfunctional where relevant), including semantic model, KPI validation, measures (DAX), dashboards, and recurring reports.

• Create, execute, and maintain test scenarios, test cases, and regression suites for KPIs, filters, drilldowns, and cross-report consistency.

• Validate that data values and data types match requirements; ensure KPI definitions remain consistent across reports and releases: reconcile totals, drill-down logic, filters/slicers, time logic, rounding rules, segmentation consistency across reports.

• Use SQL to reconcile results, identify mismatches, and support root-cause investigations in Snowflake/ClickHouse.

• Gradually introduce automated data quality checks (SQL/Python), covering freshness, completeness, duplicates, schema changes, and threshold/anomaly detection.

• Collaborate with BI developers and data engineering to clarify requirements, log defects, validate fixes, and improve overall data quality.

• Maintain testing documentation and evidence (e.g., in Jira/TestRail) and support a clear release sign-off approach.
  

Our expectations:

• 2+ years of experience in QA/testing (software/functional) and strong interest in data/BI quality.

• Strong SQL skills for reconciliation and investigation, ability to debug metric mismatches end- to-end (grouping, joins, window functions).

• Hands-on understanding of BI/reporting logic and how KPIs can break (filters, granularity, semantic layer).

• Power BI experience (testing semantic models, validating DAX measures, performance awareness).

• Programming/scripting (Python) is an advantage; automation will be introduced gradually.

• Experience with Snowflake / ClickHouse, dbt tests, GitHub, or data quality frameworks.

• Great attention to detail, clear communication, ability to challenge inconsistencies constructively.

Required competencies:

• Breaks down complex problems into clear, actionable tasks.

• Proactive, resourceful, and takes ownership end-to-end.

• Manages multiple priorities without sacrificing quality or deadlines.

• Collaborative team player who elevates shared goals and outcomes.

• Strong quality mindset and respect for delivery timelines.

Benefits:

• Annual company performance bonus

• Additional paid days off (health days, birthday day off, voluntary work days and additional days off based on tenure)

• Health insurance policy

• Learning & development compensation

• Paid online consultations with certified mental health professionals

• Wellness and team-building events