Data & AI Software Engineer (m/f/d)

• Location

  Calle Bergara 13

  8002 Barcelona

• Employment Area

  IT - Development

• Level

  Experienced professionals

• Working Model

  Full-time

• Reference ID

  48302

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

• Develop and operate productive data pipelines for reports, analytics and machine learning and ensure their quality and future viability
• Use your software development skills and set new standards for development and deployment
• Optimize the performance of data engineering solutions and guarantee their scalability
• Ensure data quality and consistency through data validation and cleansing
• Monitor and troubleshoot data infrastructure to minimize downtime
• Implement data security and privacy measures
• Work in interdisciplinary agile teams with data scientists, data engineers, product owners and specialist departments

Your Profile

• Completed degree in computer science or talented newcomer
• Enthusiasm for the topic of data engineering and software development
• Experience in cloud, containerization and big data, ideally with MS Azure, Kubernetes and Spark
• Experience with SQL
• Experience with developing data pipelines (batch, streaming)
• Experience with at least one programming language (Python, Scala, Java)
• Knowledge of the software development cycle and its best practices (e.g. CI/CD, DevOps, testing)
• Analytical skills, agile mindset, independence and hands-on mentality