Data QA Engineer / Data Quality Engineer (m/w/d)

Everience Benelux; Rotterdam; On-site; EUR 65,000 - 90,000; Full time

Job summary

Everience Benelux, a forward‑looking AI-focused consulting group, seeks an experienced IT Software Quality Engineer to drive QA across data platforms and cloud ecosystems. You will lead ETL/data validation, SQL testing and test automation to ensure data accuracy and reliability across end‑to‑end pipelines.

You will collaborate with cross-functional teams, develop automated validation frameworks using Python, PySpark and Pandas, and test Azure Data Factory, Databricks and Data Lake solutions to

Qualifications

• Bachelor's or Master's degree in CS/IT/Data Engineering or related field.
• Strong ETL and Big Data testing experience with data validation.
• Experience with Azure data services and cloud testing practices.

Responsibilities

• Perform end-to-end testing of ETL and data workflows.
• Validate data extraction, transformation and loading processes.
• Conduct data reconciliation and cross-system validation activities.
• Ensure data quality across source and target systems.
• Develop and maintain automated data validation frameworks (Python, PySpark, Pandas).
• Test Azure Data Factory, Databricks and Data Lake data pipelines.
• Perform API testing and data exchange validation across services.
• Manage defect lifecycle and collaborate with dev/integration teams.
• Track quality metrics and provide status updates to stakeholders.

Skills

ETL Testing

Big Data Testing

Manual Testing

BI Validation

Advanced SQL

Data Validation

E2E Test Lifecycle

Azure DevOps

Education

Bachelor's or Master's in CS/IT/Data Engineering

Tools

Python

PySpark

Pandas

Azure Data Factory

Azure Databricks

Azure Data Lake Gen2

Postman

Job description

Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.

With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.

Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.

In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.

Description Du Poste

We are looking for an experienced IT Software Quality Engineer to drive quality assurance activities across complex data platforms and cloud-based ecosystems. The role requires strong expertise in ETL and Big Data testing, data validation, SQL, and test automation. The candidate will be responsible for ensuring data accuracy, integrity, and reliability across end-to-end data pipelines while collaborating with cross-functional teams to deliver high-quality solutions.

Key Responsibilities

ETL & Data Validation

• Perform end-to-end testing of ETL and Data workflows.
• Validate data extraction, transformation, and loading processes.
• Conduct data reconciliation and cross-system validation activities.
• Ensure data quality, completeness, consistency, and accuracy across source and target systems.

Test Planning & Execution

• Analyze business requirements and create detailed test scenarios and test cases.
• Develop comprehensive test strategies aligned with business and technical requirements.
• Execute functional, integration, system and regression testing.
• Ensure adequate test coverage and quality across releases.

SQL & Data Analysis

• Perform advanced SQL-based data validation and analysis.
• Validate complex data transformations, aggregations, joins, and business rules.
• Investigate and troubleshoot data-related defects and inconsistencies.

Automation & Tools (good to have)

• Develop and maintain automated data validation frameworks using Python, PySpark, and Pandas.
• Create reusable automation utilities to improve testing efficiency.
• Support continuous improvement of test automation capabilities.

Cloud & Data Platform Testing

• Validate data pipelines built on Azure Data Factory (ADF).
• Test data processing and storage solutions on Azure Databricks and Azure Data Lake.
• Ensure seamless integration between cloud-based data services.

API & Integration Testing

• Validate data exchange across integrated applications and services.
• Perform API testing using tools such as Postman.

Defect Management

• Manage the complete defect lifecycle from identification through closure.
• Collaborate closely with development and integration teams to resolve issues effectively.

Reporting & Stakeholder Communication

• Track and report testing progress, quality metrics, risks, dependencies, blockers.
• Provide regular status updates to project stakeholders.
• Work closely with developers, business analysts, product owners, and business users to ensure successful delivery.

Quality & Risk Management

• Identify quality risks proactively and drive mitigation plans.
• Ensure compliance with organizational QA standards, processes, and governance practices.

Qualifications

• Bachelor's or Master's Degree in: Computer Science, Information Technology, Data Engineering, Related Technical Discipline

Must-Have Skills :

• ETL Testing / Big Data Testing
• Manual Testing
• BI / Reporting Validation
• Advanced SQL
• Data Validation and Reconciliation
• End-to-End Test Lifecycle Management
• Azure DevOps
• ETL Frameworks and Processes

Hands-On Experience :

• Python
• PySpark
• Pandas
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Data Lake Gen2
• Postman

Informations supplémentaires

All our positions are open to both women and men and are, of course, open to people with disabilities.