From Q-tech, we are collaborating with a large European technology company, part of a leading international retail and distribution group, that is looking for a Data Engineer to join a highly innovative squad within the Marketing & Communication domain.

You'll work on one of the company's most strategic products: one of the largest customer loyalty apps in Europe, with over 130 million users, managing massive-scale customer and transactional data to power advanced segmentation, personalized campaigns and data-driven decisions across countries.

The role is a strong fit for engineers who enjoy scalability challenges and large-volume data architecture, with growing exposure to the company's Data Science and AI initiatives — the product already uses Generative AI for natural-language customer segmentation, with more AI-driven analytics planned.

This hire expands the team, adds delivery capacity, and enables further AI/Data Science innovation.

Responsibilities

• Design, develop and maintain scalable batch and real-time data pipelines.

• Build and optimize data solutions for very large volumes of customer and transaction data.

• Develop and maintain the Marketing Data Layer used by marketers across countries.

• Transform analytical data into operational datasets for segmentation and campaign execution.

• Ensure data quality, performance, governance and reliability.

• Collaborate with Data Engineers, Software Engineers, Product Owners and business stakeholders; support other squads as needed.

• Contribute to AI-powered marketing products, advanced analytics, and ML solutions where relevant.

• Identify actionable insights from customer behavior and purchasing patterns.

Must have

• Strong experience as a Data Engineer with large-scale datasets.

• Advanced Python and SQL.

• Experience with Databricks and Airflow

• Big Data frameworks: Spark, Kafka, Kubernetes, Hive.

• Relational (e.g., SQL Server) and non-relational databases (e.g., MongoDB, ELK, Cassandra).

• Experience designing robust, scalable data pipelines; knowledge of modern data architectures and data operations.

• Agile experience; strong problem-solving mindset and autonomy.

• Fluent English (minimum B2).

Nice to have

• ML tools: Scikit-Learn, Pandas, Spark ML, MLflow.

• Data Science workflow knowledge; experience with AI-related initiatives.

• Retail/customer-centric business experience; marketing analytics, segmentation or CRM data experience.

• Experience with customer/transaction/behavioral data at scale.

• Infrastructure deployment / DevOps knowledge.

• .NET experience.

Compensation & benefits

• Salary: €56,000 – €61,000 base

• Flexible benefits package (~€3,700 net/year)

• Private health insurance

• Remote work allowance (1-2 days office/week)

• Wellbeing benefits