5 beste vacatures voor de functie van data engineer in rotterdam hoogvliet (nieuwe medewerkers gezocht)

IT Software Quality Engineer (ETL / Big Data)
Wibit Consulting & Services (WibitCS) —Rotterdam
- Azure
- Informatica
- DevOps
Snel solliciteren
5 uur
Data Science Consultant
Sia —Rotterdam
- Fulltime
- Hybride werken
- Azure
- Engels
- Master
- Flexibele werkuren
Snel solliciteren
Senior Data Engineer - Telecommunicatie
CGI —Rotterdam
- Azure
- DevOps
- Engineering
- Flexibele werkuren
Snel solliciteren
Senior Data Science Consultant
Sia —Rotterdam
- Fulltime
- Hybride werken
- Engels
- Master
- Analytisch vermogen
Snel solliciteren
Data & AI Traineeship
Veneficus B.V. —Rotterdam
- € 2.700 - € 3.300 per maand
- Fulltime
- Hybride werken
- Java
- Master
- Analytisch vermogen
Snel solliciteren

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IT Software Quality Engineer (ETL / Big Data)

Wibit Consulting & Services (WibitCS)
Rotterdam

Snel solliciteren

Vacaturegegevens

5 uur geleden

Kwalificaties

Azure
Informatica
Big data
DevOps
Master
SQL
Pandas
Analytisch vermogen
Softwarekwaliteitsborging
Bachelor
Risicomanagement
ICT
Zakelijke vereisten
Communicatieve vaardigheden
Python
Informatietechnologie

Volledige vacaturetekst

IT Software Quality Engineer (ETL / Big Data)

We are working with a leading company seeking an experienced IT Software Quality Engineer to drive quality assurance 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, with a focus on ensuring data accuracy, integrity, and reliability across end-to-end data pipelines.

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
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, and blockers
Provide regular status updates to project stakeholders
Work closely with developers, business analysts, product owners, and business users

Quality & Risk Management

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

Required Skills & Experience

Must-have: 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

Educational Qualification

Bachelor's or Master's Degree in Computer Science, Information Technology, Data Engineering, or a related technical discipline

Key Competencies

Strong analytical and problem-solving skills
Attention to detail and quality focus
Ownership and accountability
Effective stakeholder management
Excellent verbal and written communication skills
Proactive risk identification and mitigation

Preferred Candidate Profile

Strong experience in data-centric testing environments
Exposure to cloud-based data platforms and modern data architectures
Ability to independently lead testing activities and coordinate with stakeholders
Interest in emerging AI-driven testing approaches

Ready to ensure data excellence across cloud-based platforms? Apply now!

#QualityEngineer #ETLTesting #BigData #AzureJobs #SQLJobs #DataValidation #HiringNow #TestAutomation #PySpark #Databricks #TechCareers

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data engineer vacatures in rotterdam hoogvliet

IT Software Quality Engineer (ETL / Big Data)

Data Science Consultant

Senior Data Engineer - Telecommunicatie

Senior Data Science Consultant

Data & AI Traineeship

More jobs to discover

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data engineer in rotterdam hoogvliet

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