Data Quality Engineer

TL;DR

Data Quality Engineer: Investigating and resolving data discrepancies, building monitoring tools, and improving internal processes to safeguard data integrity across integrations and measurement systems. Focus on diagnosing complex data puzzles, automating validation checks, and ensuring data consistency and reliability.

Location: Remote (Ukraine) or onsite in Ukraine

Company

hirify.global is a custom product engineering company with a global team of over 4,000, supporting multinational organizations and scaling startups in solving complex business challenges.

What you will do

• Investigate and resolve data discrepancies in key metrics between systems and third-party partners.
• Reproduce data flows to identify root causes and propose technical or process fixes.
• Design and maintain dashboards to monitor incoming data feeds and detect anomalies early.
• Define and implement alerting rules to flag gaps in coverage, delayed feeds, or unusual patterns.
• Partner with data engineers to automate validation checks across S2S integrations and pixel-based measurement systems.
• Serve as the primary escalation point for Support and Commercial teams on data quality questions.

Requirements

• 3+ years of experience in technical support, data operations, or analytics engineering.
• Solid understanding of data pipelines, APIs, and log-based debugging.
• Strong analytical skills, including proficiency with SQL and data visualization tools (e.g., Looker, Tableau, QuickSight).
• Clear, structured communication skills across technical and non-technical audiences.
• Proven ability to triage and resolve complex issues independently.
• Detail-oriented, systematic, stable, patient, and supportive working style.

Nice to have

• Experience in digital advertising, media measurement, or marketing data platforms.
• Familiarity with AWS data stack (S3, Glue, Athena) or similar environments.
• Exposure to observability and monitoring frameworks (e.g., Grafana, Datadog, Prometheus).
• Experience building automation scripts or lightweight data validation tools (Python, Bash).
• Prior involvement in ISO 27001 or other data governance/compliance initiatives.

Culture & Benefits

• Work alongside top professionals in a friendly, open-door environment.
• Opportunity to take on large-scale projects with a global impact.
• Boost your skills with internal events (meetups, conferences, workshops).
• Explore diverse domains through internal mobility, gaining hands-on experience with cutting-edge technologies.
• Enjoy radical flexibility – work remotely or from an office, your choice.
• Be part of a One Team culture that values collaboration and progress.