Data Quality Engineer (m/f/d)

Join Schwarz Global Services Barcelona - IT Hub of Europe's Largest Retail Group.
At Schwarz Global Services Barcelona, we provide high value IT services for the entire Schwarz Group, which includes Lidl, Kaufland, Schwarz Produktion, PreZero, Schwarz Digits, STACKIT, and XMCyber.
As part of a top 5 global retail company, we serve 6 billion customers through 13,700 stores in 32 countries, supported by over 575,000 employees.
We are looking for open-minded colleagues with passion for technology, who are willing to find diverse and exciting career opportunities in a dynamic work environment that stands for development and progress.
Elevate your career with us, where development and progress are at the heart of everything we do.

Your tasks

• You design and implement automated data quality checks across all data layers.
• You develop and maintain sidecar services or libraries to monitor and enforce data quality rules.
• You collaborate with Data Engineers to integrate data quality checks into Spark pipelines on Databricks.
• You define and maintain data quality metrics.
• You configure and manage alerting mechanisms for data quality incidents.
• You perform root cause analysis on data quality issues and work with the team to resolve them.
• You contribute to the creation of data quality dashboards and reports.
• You support the adoption of best practices around data validation and schema enforcement.
• You ensure the documentation of data entities, its data quality checks, and their rationale across datasets.

Your profile

• You have strong experience in Python or Scala, with a focus on backend or data-related systems.
• You are proficient in Spark and Databricks, and understand distributed data processing.
• You have hands-on experience implementing data quality frameworks or tools (e.g., Deequ, DQX, etc.).
• You are comfortable working with structured, semi-structured, and streaming data.
• You are have knowledge about writing automated tests and integrating them into CI/CD pipelines, as well as being familiar with terms like TDD or BDD.
• You understand the data quality challenges at each layer being proactive in identifying data issues.
• You are familiar with monitoring tools and alerting systems (e.g., Prometheus, Grafana, or alternatives).
• You can communicate effectively with both technical and non-technical stakeholders.
• You take ownership of your work and and have ideally already worked in agile teams.
• You have a passion and enthusiasm for new technologies and topics related to data.
• You have a good command of English.

We look forward to receiving your application.

Schwarz Dienstleistung KG · Xavier Coll Porqueres · Reference no. 46249 
Stiftsbergstraße 1 · 74172 Neckarsulm, Germany 
www.careers.schwarz