Data Quality Assurance Engineer (Automation & Observability)

BlueSnap, Inc; Warszawa; On-site; PLN 80,000 - 100,000; Full time

Job summary

A technology company in Warsaw is looking for a Data Quality Assurance Engineer to join their Price Optimization Department. This role involves designing validation frameworks, developing data quality monitoring tools, and ensuring high-quality data for AI models. The ideal candidate will have strong Python skills and experience with SQL and OLAP databases. Competitive salary and full-time position offered.

Qualifications

• Proficiency with SQL and OLAP databases, with ClickHouse as a strong plus.
• Experience with distributed data frameworks, particularly Ray Data.
• Cloud experience, preferably GCP.

Responsibilities

• Design and implement automated validation procedures for data pipelines.
• Develop monitoring tools for ensuring data quality.
• Collaborate with teams to define quality metrics and integrate them into dashboards.

Skills

SQL proficiency

OLAP databases

Cloud experience

Experience with distributed data frameworks

Problem-solving mindset

Tools

Dagster

Ray Data

Job description

Data Quality Assurance Engineer (Automation & Observability)

• AI
• Warsaw
• Full-time

Description

Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting‑edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real‑time decision‑making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI‑driven solutions.

Fetcherr experts in deep learning, algo‑trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting‑edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real‑time decision‑making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI‑driven solutions.

We’re looking for a Data Quality Assurance Engineer to join our Price Optimization Department with a focus on automation, observability, and performance. In this role, you will design and implement validation frameworks in code, build automation around data quality monitoring, and contribute to the observability and performance testing of large‑scale pipelines. You will collaborate closely with data engineers, scientists, and analysts to ensure our AI‑driven models operate on reliable, high‑quality data. The ideal candidate will be a strong Python developer with hands‑on experience in data frameworks and distributed systems, combined with solid knowledge of OLAP databases and data pipeline concepts.

Key responsibilities

• Design and implement automated validation procedures for pipelines and transformations
• Develop monitoring and observability tools to ensure data quality and reliability
• Contribute to performance testing and optimization of large‑scale data systems
• Build and maintain reusable Python‑based validation frameworks
• Collaborate with data engineers, scientists, and analysts to define quality metrics and integrate them into observability dashboards
• Investigate complex issues in distributed data systems and contribute fixes and improvements Technical requirements

Requirements

You’ll Be a Great Fit if You Have…

• SQL and OLAP databases proficiency (good plus) [ClickHouse – strong plus]
• Experience with orchestrators (good plus); Dagster - strong plus
• Experience with distributed data frameworks such as Ray Data (strong plus)
• Cloud experience (GCP is a strong plus)
• Exposure to test management or defect tracking tools (desirable)

Soft requirements

• Ability to deliver against aggressive timelines in a very dynamic startup environment (must)
• Strong problem‑solving mindset with a focus on building scalable and reliable automation
• Flexibility to adapt to changing project demands (occasional paid overtime may be required) (good plus)
• Knowledge of the airline industry (pricing, revenue management) (strong plus)
• Experience working within Agile methodologies