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. Youll work on one of the companys 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 companys 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 * Versátil benefits package (~€3,700 net/year) * Private health insurance * Remote work allowance (1-2 days office/week) * Wellbeing benefits

📌 Data Engineer - Marketing Communication (Cataluña)
🏢 Q-Tech
📍 Cataluña