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.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 asneeded.- 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#J-18808-Ljbffr

📌 Data Engineer - Marketing & Communication Domain (Barcelona)
🏢 Tamarind Intelligence
📍 Barcelona