QA Engineer (Data Stack) at Exness jobs for internal candidates
May no longer be active — verify on the employer site
At a glance
- Company
- Exness jobs for internal candidates
- Location
- Cyprus
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Exness jobs for internal candidates job
- 🏢 Exness jobs for internal candidates has 13 jobs here, 13 with visa sponsorship see all
- 🛂 Visa: Foreign Interest Company work permit. Minimum salary: €2,500 a month guide
- 💡 No salary shown. Ask Exness jobs for internal candidates if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- SQL — in 545 other listings on The Stack
- ClickHouse — in 48 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Pytest — in 10 other listings on The Stack
- Kafka Connect — in 1 other listing on The Stack
- Flink — in 14 other listings on The Stack
- Docker — in 464 other listings on The Stack
- Kubernetes — in 585 other listings on The Stack
- Grafana
- PagerDuty
- Terraform
- ETL
- Data Modeling
- Data Warehousing
- AI Tools
- Data Analysis
On The Stack (as of 2026-11-05)
Frequently asked questions about Exness jobs for internal candidates
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.