Data Engineer - Remote Marketing & AI Analytics

Q-tech; Barcelona; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Private health insurance

Remote work allowance (1-2 days office

Remote work allowance (1-2 days office

Job summary

Q-tech is partnering with a leading European technology company to hire a Data Engineer for a highly innovative Marketing & Communication squad. You will work on one of Europe’s largest customer loyalty apps, handling massive-scale customer and transactional data to power segmentation and personalized campaigns across multiple countries.

This role emphasizes scalable architecture, data quality, and collaboration with AI initiatives, enabling data-driven decisions and insights in a fast-paced,

Qualifications

• Strong experience as a Data Engineer with large-scale datasets.
• Advanced Python and SQL.
• Experience with Databricks and Airflow.
• Experience with relational and non-relational databases (e.g., SQL Server, MongoDB, ELK, Cassandra).
• Agile experience; strong problem-solving mindset and autonomy.

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.

Skills

Python

SQL

Databricks

Airflow

Big data

Agile

Tools

Databricks

Airflow

MongoDB

Job description

Q-tech is partnering with a leading European technology company to hire a Data Engineer for a highly innovative Marketing & Communication squad. You will work on one of Europe’s largest customer loyalty apps, handling massive-scale customer and transactional data to power segmentation and personalized campaigns across multiple countries.

This role emphasizes scalable architecture, data quality, and collaboration with AI initiatives, enabling data-driven decisions and insights in a fast-paced,