QA Engineer – Data

At Costa Coffee, we are what we craft. We’re reimagining coffee experiences in over 50 countries and counting, as a key part of the Coca-Cola System. Whether you get your coffee in a store, from a machine, at home, or on the go – we’ve got you covered.

We want to be the leaders in new technology that transforms coffee experiences. At the heart of this is our coffee technology hub in Sofia, developing fresh solutions and reimagining the future of coffee to make greatness every day.

We also want to help you grow in your career through amazing experiences, our apprenticeship scheme, and development programmes. At Costa, you can go beyond the day-to-day.

And as a QA Engineer – Data you’ll help make greatness every day, too.

Reporting to the Lead Engineering Test & Quality Manager, the QA Data Engineer will be responsible for performing both manual and automated testing of data pipelines, ETL processes, and data-driven applications. You will ensure the accuracy, integrity, and performance of data across systems, supporting business-critical analytics and reporting.

So, why Costa?

We’re a global coffee brand with bold plans and some pretty brilliant perks to sweeten the deal:

• Life, Accident & Disability Insurance
• Healthcare Benefits for you and your dependents
• Preferential rates on a Multisport Card for you and the family

We’re passionate about being a great place to work, where you can bring your real self into our mix. We firmly support diversity, equity and inclusion, and continue to work with our teams to shape the future of our culture and values: Disciplined to Deliver, Passion for Progress, Win with Warmth, Courage to Challenge and Trusted Team Players.

What you’ll do

Being a QA Engineer – Data is your chance to join our exciting hub in Sofia, which means you’ll:

• Design and execute manual test cases to validate data transformations, migrations, and integrations and Validate ETL/ELT pipelines, ensuring data consistency, completeness, and accuracy.
• Develop and maintain automated data validation scripts using SQL, Python, or other scripting languages.
• Perform data quality checks across structured and semi-structured data sources (e.g., relational databases, data lakes, APIs).
• Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and define test strategies.
• Monitor and troubleshoot data issues in production environments and Log, track, and manage defects using tools like JIRA or Azure DevOps.
• Contribute to test automation frameworks for data validation and regression testing and Support production releases with smoke testing and post-release validation.

Who you are

It’s your unique ingredients we’re interested in:

• Hands-on experience in SQL scripting with Familiarity with ETL tools.
• Experience in data warehousing concepts and Azure Cloud (Azure Cloud data services such as Data Factory and Databricks)
• Comprehensive knowledge of test automation tools and frameworks
• Possesses a broad knowledge of Testing technologies with knowledge of Agile software development methodology
• Jira, Confluence, DevOps, Git, CI/CD tooling and SAS platforms like buddy. Works and bitrise
• Hands-on experience with automation tools and scripting languages (e.g., Python, PyTest, DBT, or similar).

Location – Sofia – Hybrid

The role will be hybrid model with the expectation of being in the Sofia office 2-3 days per week as required.