Data Engineer - Marketing & Communication Domain

Навыки

• Agile
• AI-инструменты в работе
• Airflow
• Big Data
• Cassandra / Scylla
• CRM-системы
• Клиентоориентированность

О компании и продукте

• 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.

Задачи

• 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

Требования

• 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)

Будет плюсом

• 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

Условия

• 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

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