AQA Engineer | Data & Analytics (NXJ-66)

Newxel; Deutschland; Hybrid; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

A dynamic technology firm is seeking an AQA Engineer (Data & Analytics) to ensure the accuracy of data pipelines and financial calculations. This is a hybrid role that focuses on building QA processes and automation infrastructure. You will initially perform manual and automated testing while contributing to the future automation framework using Python. The ideal candidate should possess solid SQL skills, experience in API testing, and strong communication abilities. Comprehensive benefits, competitive salary, and opportunities for career growth are provided.

Leistungen

Competitive salary and benefits package

Medical insurance

Top equipment kit

Collaborative work environment

Career growth opportunities

Qualifikationen

• 3+ years of experience in Software Quality Assurance, particularly with Web & SaaS.
• Strong knowledge of SQL for test validation.
• Experience with API testing tools like Postman and CI/CD pipelines.

Aufgaben

• Build QA processes and automation infrastructure from scratch.
• Perform manual and automated testing, transitioning to automation over time.
• Design a comprehensive automation platform using Python.

Kenntnisse

SQL querying

Attention to detail

API testing

Automation scripting

English communication

Ausbildung

Degree in Mathematics, Statistics, or Finance

Tools

Postman

Jenkins

GitHub Actions

Python

Jobbeschreibung

We’re looking for a AQA 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

• Act as the first QA in the company and take ownership of building the QA processes and automation infrastructure from scratch
• Initially perform both manual and automated testing (approx. 50/50 first 2 months), gradually shifting focus toward automation as the platform matures (target ~90% automation)
• Design and develop a comprehensive automation platform capable of covering the entire system
• Work closely with the development team to ensure the automation framework aligns with the system architecture
• Build the future automation framework using Python, contributing to a future-proof and scalable testing environment
• Ensure high-quality releases by actively participating in manual testing until the automation platform is fully functional

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.