Data Engineer - Marketing & Communication Domain
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