Data Engineer (m/f/d) at Schwarz Digits

Barcelona office is a key hub for cybersecurity and cloud operations, offering roles in SOC, incident response, and cloud engineering.
The company is part of the Schwarz Group, providing stability and access to large-scale retail technology projects.
STACKIT is a European cloud platform, emphasizing data sovereignty and compliance with EU regulations, which may appeal to professionals interested in data protection.
Many roles are advertised in English, making it accessible for international candidates.
The company offers opportunities for career growth in a rapidly expanding digital division.

Data Engineer (m/f/d)

Schwarz Digits

Requirements

Your profile

Must-have: Programming languages: Python, SQL.
Must-have: Experience with Big Data frameworks such as Spark, Kafka, Kubernetes, Hive.
Must-have: Familiarity with relational (e.g., SQL Server) and non-relational databases (e.g., MongoDB, ELK, Cassandra).
Agile methodology experience.
Nice-to-have: Knowledge of Machine Learning tools: Scikit-Learn, Pandas, Spark ML, MLflow.
Nice-to-have: Knowledge of deploying infrastructure and devops.
Nice-to-have: Experience in .NET.
Passion for continuous learning and staying up to date with emerging technologies.
Creative, innovative thinker with a proactive mindset.
Strong problem-solving skills and ability to adapt quickly to change.
Collaborative spirit with excellent communication skills.
Comfortable working in a multi-cultural environment with fluency in English.

Benefits

A modern, well-equipped workplace awaits you at Plaza Catalunya — right in the heart of Barcelona.

As part of our commitment to a positive and supportive work environment, our company offers a range of attractive additional benefits. These include restaurant vouchers, transportation benefits, health insurance, and fitness vouchers. Through our discount platform, you can also enjoy monthly discounts and benefits in a wide variety of categories, from services to clothing to accommodation.

Working closely with international departments, we develop customer-oriented solutions in flexible, small teams.

Our employees are very important to us. You will become part of an appreciative and open corporate culture with flat hierarchies.

We offer you diverse and exciting career opportunities in a dynamic work environment that stands for development and progress.

We believe in giving our employees the flexibility they need to do their best work. Our most popular model is the hybrid model, which gives employees the option to work remotely up to 12 days per month. In-office time is focused on collaboration.

Original Advert

Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace.

Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group.

Your tasks

We are seeking a highly skilled and motivated Data Engineer to join our team. In this role, you will be involved in building scalable data solutions, driving data operations, and developing statistical and machine learning algorithms that deliver real business value.
This is an exciting opportunity for someone who thrives in dynamic, agile environments and is passionate about using data to solve complex problems.
Design, build, and maintain batch and real-time data pipelines.
Conduct data operations, including exploration, provisioning, cleaning, testing, and ALM.
Develop and implement algorithms in statistics and machine learning.
Collaborate closely with business stakeholders to translate requirements into technical solutions.
Ensure data integrity, quality, and availability across all systems.
Extract actionable business insights.