Data Engineer - Marketing & Communication

Q-tech; Barcelona; Presencial; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Remote work allowance

Flexible benefits package (~€3,700 net

Descripción de la vacante

Q-tech, in partnership with a large European technology company, is seeking a Data Engineer to join a cutting-edge Marketing & Communication squad working on one of Europe’s largest loyalty apps with 130M users.

You will design scalable data pipelines, collaborate with cross-functional teams, and contribute to AI-driven analytics across countries.

Experience with Databricks, Airflow, Python, SQL and both relational/non-relational databases is required; remote options available.

Formación

• Experience building large-scale data pipelines and architectures.
• Advanced Python and SQL proficiency.
• Experience with Databricks and Airflow.
• Experience with relational and non-relational databases.

Responsabilidades

• 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.

Conocimientos

Data pipelines design

Agile experience

Problem-solving

Herramientas

Python

SQL

Databricks

Airflow

MongoDB

ELK

Cassandra

SQL Server

Descripción del empleo

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/DataScience 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
• 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.

Nice to have

• 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.
• Flexible benefits package (~€3,700 net/year)
• Private health insurance
• Remote work allowance (1-2 days office/week)