Data engineer for customer loyalty apps

Q-Tech

Barcelona

Hybrid

EUR 56,000 - 61,000

Full time

3 days ago
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Benefits offered by this job

Private health insurance
Remote work allowance
Wellbeing benefits
Flexible benefits package

Job summary

Q-Tech в сотрудничестве с крупной европейской технологической компанией ищет Data Engineer для инновационной команды в области Marketing & Communications. Вы будете работать над одним из крупнейших приложений лояльности в Европе, обрабатывая массивы данных клиентов и транзакций для сегментации и персонализированных кампаний.

Ваша роль: проектирование и поддержка конвейеров обработки данных (пакетная и стриминговая обработка), оптимизация хранилищ (SQL/NoSQL), создание Marketing Data Layer и

Qualifications

  • Опыт работы Data Engineer на больших наборах данных.
  • Опыт разработки пайплайнов на Python и SQL.
  • Опыт Databricks и Airflow, Spark, Kafka, Kubernetes, Hive.
  • Знание SQL Server и NoSQL БД (MongoDB, ELK, Cassandra).
  • Опыт Agile; ответственность и автономность.

Responsibilities

  • Проектирование, разработка и поддержка пайплайнов пакетной и потоковой обработки.
  • Оптимизация решений для больших объемов данных клиентов и транзакций.
  • Разработка Marketing Data Layer для маркетологов.
  • Преобразование аналитических данных в операционные наборы данных для сегментации.
  • Обеспечение качества данных, производительности, управляемости.
  • Сотрудничество с Data Engineers, Software Engineers и бизнес-стейкхолдерами.
  • Участие в AI-подходах, ML и аналитике.

Skills

Data engineering
Python
SQL
English (B2)
Agile

Tools

Databricks
Airflow
Spark
Kafka
Kubernetes
Hive
SQL Server
MongoDB
ELK
Cassandra
MLflow
Scikit-Learn
Pandas
.NET

Job description

Описание:

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.

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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