Ai Data Engineer

Il y a 3 jours

De Pinte, Flanders, Belgique Growing Pai Temps plein

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AI Data EngineerHave you got what it takes to succeed The following information should be read carefully by all candidates.
Join Growing Pai — Where Data Meets Applied AIAt Growing Pai, we deploy and integrate pragmatic AI solutions that transform how businesses analyze data and streamline operations. We don't build AI in a vacuum; we build reliable data foundations and modern AI systems that drive real-world business outcomes.
We are looking for a specialized AI/Data Engineer to take ownership of our core data pipelines and vector storage architecture, bridging the gap between cloud data infrastructure and production AI capabilities.

What You'll Do
Maintain & Scale Data Pipelines: Take ownership of existing Spark-based ETL pipelines to extract business data from cloud data warehouses, denormalize it, and efficiently load it into PostgreSQL.
Optimize Data Models & Vector Stores: Design, tune, and maintain complex SQL views—including vector-embedding-backed views using pgvector and trigram search—to expose clean, queryable data for AI applications.
Deploy Production AI Systems: Implement automated data intake platforms and integrate Large Language Models (LLMs) to enhance operational efficiency across client environments.
Bridge Tech & Business: Translate business requirements into robust technical architecture, guiding clients and internal stakeholders through seamless AI adoption.
Drive Continuous Improvement: Stay ahead of modern data and AI stack trends, while mentoring team members and refining engineering best practices.
Who We're Looking ForCore Technical Stack: Strong proficiency in SQL, PostgreSQL, and Big Data processing frameworks (e.
G., PySpark/Spark ETL).
AI & Search Infrastructure: Practical experience with vector search databases (pgvector), text search indexing (trigrams), and applying LLMs to business datasets.
AI Deployment

Experience:
At least 1+ years of hands-on experience deploying, integrating, and monitoring AI/ML systems in production environments.
Cloud & Data Warehousing: Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data warehousing architectures.
Stakeholder Management: Strong communication skills with a proven track record of translating business needs into data pipelines and functional AI features.

What We Offer
A competitive salary and benefits package tailored to your experience.
High impact and autonomy—you will own the backbone of our data and AI infrastructure.
A supportive, growth-oriented culture focused on practical learning and professional development.
The chance to build real-world AI systems that drive measurable business outcomes.
Not a 100% perfect match on paper? Apply anyway—we value curiosity, adaptability, and engineering fundamentals above rigid checklists.
Interested? Send us a message with a quick note on what you love building. xdkqlui Let's build AI that actually works in the real world.

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