Senior IT Software Quality Engineer – Data & ETL ( M/F/H )

We are looking for an experienced IT Software Quality Engineer Data & ETL who will be responsible for leading and executing quality assurance activities within complex data platforms and cloud-based ecosystems.
In this role, the focus is on ensuring the quality, accuracy, completeness and reliability of data across end-to-end data pipelines. You will work at the intersection of software testing, data engineering, ETL, Big Data and cloud technologies.
You are analytical, technically skilled and able to independently execute testing activities while coordinating effectively with developers, data engineers, business analysts, product owners and other stakeholders.
The Role:
As a Senior IT Software Quality Engineer Data & ETL, you will be responsible for planning, executing and continuously improving QA activities within data-intensive environments.
You will test end-to-end data flows and ETL processes, ensuring that data is correctly extracted, transformed and loaded. You will also validate data across different systems and identify deviations, inconsistencies and data quality issues.
You combine hands-on testing with data analysis and work closely with both technical and business stakeholders.
ETL & Data Validation:
You will be responsible for:
Performing end-to-end testing of ETL and data workflows
Validating extraction, transformation and loading processes
Performing data reconciliation and cross-system validation
Checking data quality, completeness, consistency and accuracy
Identifying and analyzing discrepancies between source and target systems
Validating complex data transformations and business rules
Test Planning & Execution:
You will:
Analyze business and technical requirements
Develop detailed test scenarios and test cases
Create comprehensive test strategies
Perform functional, integration, system and regression testing
Monitor test coverage and quality throughout releases
Ensure a structured end-to-end testing lifecycle
Identify quality risks at an early stage and propose solutions
SQL & Data Analysis:
An important part of the role is performing advanced data analysis.
You will:
Use advanced SQL for data validation
Validate complex joins, aggregations and transformations
Verify business rules within datasets
Analyze source-to-target mappings
Investigate data-related defects and inconsistencies
Use SQL to identify the root cause of data quality issues
Test Automation:
Where possible, you will contribute to further automation of data validation.
You will preferably work with:
Python
PySpark
Pandas
You will develop and maintain reusable automation utilities and frameworks to improve the efficiency, reliability and scalability of the testing process.
Cloud & Data Platform Testing:
You have experience testing modern cloud-based data platforms.
Within this role, you will work with technologies including:
Azure Data Factory (ADF)
Azure Databricks
Azure Data Lake Gen2
Azure DevOps
You will validate data pipelines and data processing solutions and ensure that different Azure services integrate correctly.
API & Integration Testing:
You will also be involved in testing data exchange between different applications and services.
You will:
Perform API and integration testing
Validate data exchange between systems
Use tools such as Postman
Verify the consistency and accuracy of data across different systems
Defect Management:
You will be responsible for the complete defect lifecycle:
Identifying and documenting defects
Analyzing root causes
Prioritizing and following up on issues
Collaborating with development and integration teams
Verifying fixes
Ensuring the correct closure of defects
Reporting & Stakeholder Management:
You will work closely with:
Developers
Data Engineers
Data Architects
Business Analysts
Product Owners
Business Users
Project and Program Management
You will report on:
Test progress
Test results
Quality metrics
Risks
Dependencies
Blockers
Outstanding defects
You are able to clearly translate technical findings into concrete business impact for business stakeholders.
Quality & Risk Management:
You will:
Proactively identify quality risks
Develop and monitor mitigation measures
Ensure QA standards and processes are followed
Contribute to quality governance
Promote continuous improvement in testing and data quality
Must-Have
Several years of experience as a Software Quality Engineer, Data QA Engineer, Data Test Engineer, ETL Test Engineer or in a similar role
Demonstrable experience with ETL Testing / Big Data Testing
Strong experience with manual testing
Experience with BI and reporting validation
Advanced knowledge of SQL
Experience with data validation and data reconciliation
Experience with the complete end-to-end testing lifecycle
Experience with Azure DevOps
Good knowledge of ETL frameworks and processes
Hands-on experience with:
Python
PySpark
Pandas
Azure Data Factory (ADF)
Azure Databricks
Azure Data Lake Gen2
Postman
Experience with these technologies is important for this role.
Education:
You hold a Bachelor's or Master's degree in a field such as:
Computer Science
Information Technology
Data Engineering
Software Engineering
Or another comparable technical discipline.
Competencies:
Analytical and a strong problem solver
Highly accurate and quality-oriented
Independent and proactive
Strong in ownership and accountability
An effective communicator
Skilled in stakeholder management
Able to explain complex technical information in an understandable way
Strong in identifying and mitigating risks
Comfortable working in a complex, data-driven environment
Ideal Profile:
The ideal candidate has a strong background in data-centric testing and experience working within modern, cloud-based data architectures.
You combine:
QA & Testing + ETL + SQL + Data Quality + Azure + Automation
You are also able to independently lead QA activities, coordinate multiple stakeholders and take ownership of the quality of end-to-end data pipelines.
Experience with, or a strong interest in, AI-driven testing and intelligent test automation is considered a strong advantage.

Employment type
Full-time

Work arrangement
No