Data Engineer

Data Engineer at efficy

Join efficy, Europe’s leading independent CRM provider, as a Data Engineer based in Brussels. In this role, you will be instrumental in maturing our modern data warehouse on AWS, building and refining our medallion architecture (Bronze/Silver/Gold) with a domain-oriented Gold layer that powers both analytics and AI applications. Your team eagerly awaits your arrival!

What You’ll Be Doing

• Refactor and standardize Bronze and Silver layers, cleaning up technical debt, establishing consistent patterns organized by source systems, and implementing data quality frameworks with automated validation and monitoring.
• Design and build domain-oriented Gold layer datasets, creating business-aligned data products organized by domain that serve as a source for analytics, self-service BI, and AI consumption.
• Build and optimize data pipelines using Databricks and/or Glue, working with PySpark to move data through Bronze → Silver → domain-specific Gold.
• Develop AI-ready data infrastructure from the Gold layer, implementing vectorization pipelines, building knowledge bases for LLMs, and preparing domain-specific structured data for AI agents.
• Collaborate with domain data owners to translate business requirements into scalable, domain-aligned data products.

What’s in it for you?

• Clear career growth opportunities and internal mobility.
• Access to modern offices across 11 European locations.
• Engaging team events and continuous learning initiatives.
• A competitive salary package with a performance-based bonus system.
• A flexible hybrid working policy to support work-life balance.

Who You Are

• You have 5+ years of hands-on experience as a Data Engineer, with proven expertise in building production data pipelines.
• You possess strong Python and SQL skills, comfortable writing complex transformations, optimizing queries, and working across different layers of data processing.
• You have a solid understanding of data governance and data quality frameworks.
• Practical experience or strong interest in AI/ML data preparation – including vectorization, embeddings, and LLM data pipelines – is a plus.
• You demonstrate a strong analytical mindset with keen attention to detail and a pragmatic approach to balancing technical processing needs with business consumption patterns.
• You are fluent in English.

Key skills/competency

• Data Engineering
• AWS
• Databricks
• PySpark
• Python
• SQL
• Data Warehousing
• ETL Pipelines
• Data Quality
• AI/ML Data Preparation