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Data Engineer at Quadient | JobVerse
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Data Engineer
Quadient
Remote
Website
LinkedIn
Data Engineer
Barcelona, Catalonia, Spain
Full Time
1 day ago
Apply Now
Key skills
Airflow
Amazon Redshift
BigQuery
Cloud
ETL
Kafka
Microservices
Python
SQL
AI
Machine Learning
ELT
Snowflake
Redshift
Databricks
Pub/Sub
Performance Optimization
CRM
About this role
Role Overview
Design, implement, and maintain data pipelines (event-based and batch) using modern orchestration tools (e.g., Dagster).
Develop and manage data transformation workflows (rETL) to integrate data with third-party systems such as CRM, CDP, and marketing platforms.
Own and evolve the data architecture, covering ingestion, transformation, storage, and data serving layers.
Design scalable data models and ensure data quality, governance, and performance optimization.
Build data services, APIs, and internal data products to enable real-time and programmatic data access.
Integrate machine learning models and AI capabilities into data pipelines and workflows.
Ensure reliability through monitoring, observability, and continuous improvement of data processes.
Collaborate with product, engineering, and business teams to define and deliver data-driven solutions.
Requirements
Proven experience as a Data Engineer or in a similar role, with strong ownership of data pipelines and architecture.
Strong proficiency in Python and SQL.
Experience with orchestration tools such as Dagster, Airflow, or Prefect.
Hands-on experience with modern cloud data platforms (e.g., BigQuery, Snowflake, Redshift, Databricks).
Experience with data modeling, data quality frameworks, and ETL/ELT processes.
Familiarity with building APIs or microservices for data access.
Experience integrating machine learning models into production environments.
Understanding of event-driven architectures (e.g., Kafka, Pub/Sub) is a plus.
Strong analytical thinking and problem-solving skills.
Ability to work effectively in cross-functional, international teams.
Fluent in English.
Tech Stack
Airflow
Amazon Redshift
BigQuery
Cloud
ETL
Kafka
Microservices
Python
SQL
Benefits
Flexible Work: Embrace a hybrid work model blending office and remote setup for a balanced lifestyle.
Endless Learning: Access global opportunities for growth through our 24/7 online learning platform.
Inclusive Community: Join our Empowered Communities and engage in our Philanthropy program.
Comprehensive Rewards: Enjoy competitive Total Rewards covering wellness, work/life balance, and more, including a generous referral scheme.
Caring for Wellbeing: Access our complimentary employee assistance program for mental health support.
Apply Now
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