Senior IT Software Quality Engineer - Data & ETL

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. Job Description 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 workflowsValidating extraction, transformation and loading processesPerforming data reconciliation and cross-system validationChecking data quality, completeness, consistency and accuracyIdentifying and analyzing discrepancies between source and target systemsValidating complex data transformations and business rules Test Planning & Execution: You will: Analyze business and technical requirementsDevelop detailed test scenarios and test casesCreate comprehensive test strategiesPerform functional, integration, system and regression testingMonitor test coverage and quality throughout releasesEnsure a structured end-to-end testing lifecycleIdentify 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 validationValidate complex joins, aggregations and transformationsVerify business rules within datasetsAnalyze source-to-target mappingsInvestigate data-related defects and inconsistenciesUse 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: PythonPySparkPandas 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 DatabricksAzure Data Lake Gen2Azure 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 testingValidate data exchange between systemsUse tools such as PostmanVerify the consistency and accuracy of data across different systems Defect Management: You will be responsible for the complete defect lifecycle: Identifying and documenting defectsAnalyzing root causesPrioritizing and following up on issuesCollaborating with development and integration teamsVerifying fixesEnsuring the correct closure of defects Reporting & Stakeholder Management: You will work closely with: DevelopersData EngineersData ArchitectsBusiness AnalystsProduct OwnersBusiness UsersProject and Program Management You will report on: Test progressTest resultsQuality metricsRisksDependenciesBlockersOutstanding defects You are able to clearly translate technical findings into concrete business impact for business stakeholders. Quality & Risk Management: You will: Proactively identify quality risksDevelop and monitor mitigation measuresEnsure QA standards and processes are followedContribute to quality governancePromote continuous improvement in testing and data quality Qualifications Must-Have Several years of experience as a Software Quality Engineer, Data QA Engineer, Data Test Engineer, ETL Test Engineer or in a similar roleDemonstrable experience with ETL Testing / Big Data TestingStrong experience with manual testingExperience with BI and reporting validationAdvanced knowledge of SQLExperience with data validation and data reconciliationExperience with the complete end-to-end testing lifecycleExperience with Azure DevOpsGood knowledge of ETL frameworks and processesHands-on experience with:PythonPySparkPandasAzure Data Factory (ADF)Azure DatabricksAzure Data Lake Gen2Postman 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 ScienceInformation TechnologyData EngineeringSoftware Engineering Or another comparable technical discipline. Competencies: Analytical and a strong problem solverHighly accurate and quality-orientedIndependent and proactiveStrong in ownership and accountabilityAn effective communicatorSkilled in stakeholder managementAble to explain complex technical information in an understandable wayStrong in identifying and mitigating risksComfortable 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. Additional Information What We Offer A challenging procurement role within an international and growing organization;The opportunity to influence sourcing and procurement decisions across the business;A collaborative and diverse working environment;Exposure to complex supplier, stakeholder and procurement networks;The opportunity to contribute to procurement optimization and transformation initiatives;The possibility to work with a broad range of industries, services and business functions. All our positions are open to both women and men and are, of course, open to people with disabilities.