# QA Engineer (Data Stack) at Exness jobs for internal candidates

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Own end-to-end QA strategy for data inte

- **Company:** Exness jobs for internal candidates (https://jobs.trythestack.co/companies/exness-jobs-for-internal-candidates)
- **Location:** Cyprus
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, ClickHouse, Python, Pytest, Kafka Connect, Flink, Docker, Kubernetes, Grafana, PagerDuty, Terraform, ETL, Data Modeling, Data Warehousing, AI Tools, Data Analysis
- **Posted by employer:** 2026-05-15
- **Added to The Stack:** 2026-07-13
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.eu.greenhouse.io/internalhiring/jobs/4823229101 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/qa-engineer-data-stack-exness-jobs-for-internal-candidates

## About the role

Responsibilities:
- Own end-to-end QA strategy for data integration products and the data warehouse (DWH).
- Develop and maintain automated test suites to validate ETL pipelines, data transformations and data marts.
- Define and implement reconciliation, monitoring and alerting for data quality, completeness and consistency.
- Integrate AI tools (agents/LLMs) to improve QA workflows, monitoring, automated checks and code review.
- Collaborate with engineers and analysts to define data policies, standards and onboarding guidelines for sources.
- Investigate data issues, assist in root-cause analysis and recommend fixes to improve pipeline reliability.
- Participate in feature testing, user acceptance testing and release validation.

Requirements:
- 4+ years of QA experience with strong focus on data validation and automation.
- Expert SQL skills (ClickHouse or similar analytical stores) and Python test automation (Pytest preferred).
- Experience with data streaming/processing tools (Kafka Connect, Flink) and ETL/DWH concepts.
- Familiarity with Docker, Kubernetes, observability tools (Grafana, PagerDuty) and infrastructure-as-code.
- Strong analytical skills, attention to detail and ability to dive into business models (e.g., MetaTrader data).
- Practical experience applying AI-assisted tools to QA workflows is a plus.

## Responsibilities

Own end-to-end test strategies for data integration products and DWH, ensuring the validity of ETL processes. Drive AI integration into QA workflows and collaborate on data quality monitoring and alerting systems.

## Requirements

Requires 4+ years of QA experience with expert SQL (ClickHouse) and Python automation skills. Must have experience with data streaming products like Kafka Connect or Flink and a strong understanding of data warehousing.

## FAQ

- **Is this QA Engineer (Data Stack) role still open?** It was posted on 2026-05-15. Listings more than 30 days old may no longer be active, so check Exness jobs for internal candidates's site before applying.
- **Does Exness jobs for internal candidates offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Exness jobs for internal candidates's site.
- **Where is this role located?** The listing gives the location as Cyprus. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, ClickHouse, Python, Pytest, Kafka Connect, Flink, Docker, Kubernetes, Grafana, PagerDuty, Terraform, ETL, Data Modeling, Data Warehousing, AI Tools, Data Analysis.

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