About this role
Full Time Mid-level Data Engineer in AI at efficy in Kraainem, Belgium. Apply directly through the link below.
At a glance
- Work mode
- Office
- Employment
- Full Time
- Location
- Kraainem, Belgium
- Experience
- Mid-level · 5+ years
Core stack
- Data Warehouse
- Technical Debt
- Infrastructure
- Architecture
- Databricks
- Analytics
- Python
- Design
- LLMs
- SQL
- AWS
- CRM
- ML
- AI
Quick answers
What skills are required?
Data Warehouse, Technical Debt, Infrastructure, Architecture, Databricks, Analytics, Python, Design, LLMs, SQL, and more.
efficy is hiring for this role. Visit career page
Kraainem, Belgium
💻 Data Engineer
📍 This role will be based in Brussels
💶 Competitive salary
🌍 International team | 🏡 Hybrid working | 🧠 Learning & career growth
Dare to dream big at efficy
JOB OVERVIEW
Efficy is Europe’s leading independent CRM provider, trusted by 13,500+ customers and 330,000+ users worldwide.
We’re growing and looking for a Data Engineer to join our international team.
You'll work on 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 can’t wait to welcome you!
What’s in it for you?
✔️ Career growth opportunities and internal mobility
✔️ Modern offices in 11 European locations
✔️ Fun team events & continuous learning
✔️ Competitive salary with bonus system
✔️ Hybrid working policy
What you’ll be doing
✔️ Refactor and standardize Bronze and Silver layers - cleaning up technical debt, establishing consistent patterns organized by source systems, 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 source for analytics, self-service BI and AI consumption
✔️ Build and optimize data pipelines using Databricks and/or Glue, working with PySpark move data through Bronze → Silver → domain-specific Gold
✔️ Develop AI-ready data infrastructure from 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
Who you are
✔️ 5+ years of hands-on experience as a Data Engineer, with proven expertise in building production data pipelines
✔️ Strong Python and SQL skills - you're comfortable writing complex transformations, optimizing queries, and working across different layers of data processing
✔️ Understanding of data governance and data quality frameworks
✔️ Practical experience or strong interest in AI/ML data preparation - vectorization, embeddings, and LLM data pipelines is a plus
✔️ Strong analytical mindset with attention to detail and a pragmatic approach to balancing technical processing needs with business consumption patterns
✔️ Fluent in English
Ready to make an impact?
✨ Ready to succeed and make an impact with us? Apply today – we can’t wait to meet you!
Efficy is a people-first employer, committed to providing equal opportunities for all candidates. We take pride in the diversity of our team and welcome you—exactly as you are. This includes your gender identity, sexual orientation, religion, ethnicity, age, or disability status.
If you're interested in joining us, we encourage you to apply. We can’t wait to meet you!
Disclaimer
Efficy does not accept unsolicited assistance from search firms for this employment opportunity. Please refrain from making phone calls or sending emails.
All résumés submitted by search firms to any Efficy employee via email, the internet, or any other method without a valid written search agreement in place for this position will be considered the sole property of Efficy. No fees will be paid if a candidate is hired as a result of an unsolicited referral or through other means.