Senior IT Software Quality Engineer – Data & ETL ( M/F/H )
Everience Benelux · Netherlands ·
- Seniority
- Senior
- Employment
- Contract
- Category
- Industrial engineering
- Experience
- 2+ years
Everience Benelux · Netherlands ·
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.
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.
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.
An important part of the role is performing advanced data analysis.
Where possible, you will contribute to further automation of data validation.
You will preferably work with:
You will develop and maintain reusable automation utilities and frameworks to improve the efficiency, reliability and scalability of the testing process.
You have experience testing modern cloud-based data platforms.
Within this role, you will work with technologies including:
You will validate data pipelines and data processing solutions and ensure that different Azure services integrate correctly.
You will also be involved in testing data exchange between different applications and services.
You are able to clearly translate technical findings into concrete business impact for business stakeholders.
Experience with these technologies is important for this role.
You hold a Bachelor's or Master's degree in a field such as:
Or another comparable technical discipline.
The ideal candidate has a strong background in data-centric testing and experience working within modern, cloud-based data architectures.
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.
All our positions are open to both women and men and are, of course, open to people with disabilities.