QA Engineer | Data & Analytics (NXJ-66)

Newxel; Deutschland; Vor Ort; EUR 60.000 - 75.000; Vollzeit

Zusammenfassung

A technology company is looking for a QA Engineer focused on Data & Analytics. The ideal candidate will validate data pipelines and ensure the accuracy of financial calculations. Responsibilities include designing test plans, data validation, and collaborating with developers. This is a hybrid role with competitive salary and benefits, in a fast-paced, innovative work environment.

Leistungen

Competitive salary and benefits package

Medical insurance

Top equipment kit

Career growth and development opportunities

Qualifikationen

• 3+ years of experience in Software Quality Assurance (Web & SaaS).
• Strong knowledge of SQL and database querying.
• Experience with API testing (Postman, REST).
• Experience writing or maintaining automated scripts (JavaScript/TypeScript or Python preferred).
• Strong English communication skills.
• Extreme attention to detail.

Aufgaben

• Design, implement, and execute test plans for web applications.
• Validate data comparing with external sources.
• Test complex mathematical formulas for accuracy.
• Contribute to automated testing framework.
• Identify, record, and track bugs using Jira.
• Collaborate with developers on issues related to data.

Jobbeschreibung

We’re looking for a QA Engineer (Data & Analytics) to join the client’s team — someone who goes beyond basic UI checks and focuses on validating the core business logic behind their platform. You’ll ensure the accuracy of data pipelines, financial calculations, and attribution models, working closely with Product Managers and Developers to keep the client’s analytics dashboards precise, stable, and fast. This is a hybrid role in Malaga (Spain). We welcome candidates from anywhere in Europe who are open to relocation.

Responsibilities

• Test Planning & Execution: Design, implement, and execute test plans for our web application, focusing on Data Integrity, Model predictions, Agent recommendations etc…
• Data Validation: Compare our data with external sources (Seller platforms, 3rd party SaaS etc…) making sure it is coherent
• Logic Verification: Manually and automatically test complex mathematical formulas (e.g., Gross Profit, ROAS, TACoS) to ensure accurate P&L reporting
• Automation: Contribute to our automated testing framework (Github Actions/Playwright/Selenium) to cover critical regression paths
• Bug Hunting: Identify, record, and track bugs using Jira. Prioritize issues based on impact on financial accuracy and user experience
• Cross-Functional Work: Collaborate with an international team of developers to reproduce issues related to time zones, currency conversions, and large datasets

Requirements

• 3+ years of experience in Software Quality Assurance (Web & SaaS)
• Strong knowledge of SQL. Comfortable querying databases to validate test results (e.g., checking if the Profit calculation matches the Revenue minus Expenses in the DB)
• Experience with API testing (Postman, REST) and familiarity with CI/CD pipelines (Jenkins, GitHub Actions)
• Experience writing or maintaining automated scripts (JavaScript/TypeScript or Python preferred)
• Strong English communication skills
• Mindset: Extreme attention to detail

Will be a plus

• Domain Knowledge: Experience working with Amazon Seller Central, Amazon SP-API, or generally in the E-commerce/AdTech space
• Financial/Ad Experience: Understanding of concepts like PPC, CPC, ACOS, VAT, and COGS (Cost of Goods Sold)
• Math/Stats Background: A degree or background in mathematics, statistics, or finance is a huge plus.

What we offer

• Competitive salary and benefits package
• Medical insurance
• Top equipment kit
• Collaborative and innovative work environment
• Career growth and development opportunities
• A chance to work with a talented and driven team of professional

About the project

Our client is a European technology powerhouse shaping the future of digital commerce. Their mission is to make online business management smarter, faster, and fully automated. By combining deep data expertise with intelligent software, they build autonomous agents that continuously optimise key business processes — from pricing and advertising to inventory and operations — all in real time. Behind the scenes, their team of engineers, data scientists, and product experts is redefining how technology and data work together at scale. It’s a place where innovation meets real-world impact, where cutting-edge AI systems learn, adapt, and drive growth for hundreds of online stores worldwide.