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

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

• Full-time
• Level of Experience: 2-5 years
• Department: Transversal functions
• Types of work contract: Permanent

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.

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