AI Data Engineer

• Build and maintain scalable data pipelines using Spark Databricks and cloud platforms
• Design data models for analytics ML and AI applications
• Drive adoption of AI tools and agentic workflows within the data engineering team
• Identify and implement ways to improve engineering efficiency using AI
• Prototype and scale AI-assisted development practices
• Act as a go-to expert for AI experimentation and knowledge sharing
• Help establish best practices and contribute to an AI-focused community or guild
• Build pipelines supporting ML models LLM applications and AI workflows
• Ensure data quality observability and reliability
• Collaborate with Product Data Science ML/AI and DevOps teams

Qualifications :

• 3 years of commercial experience in data engineering
• Strong proficiency in SQL and Python (development and optimization)
• Hands-on experience with Spark/PySpark (Databricks is a plus)
• Experience with cloud data platforms (Azure preferred: ADF Synapse ADLS Event Hub)
• Solid understanding of ETL/ELT data modeling and data warehousing
• Experience with orchestration tools (Airflow ADF)
• Understanding of reliability performance and production-grade systems
• Hands-on experience using AI coding tools (Copilot Cursor Claude Code etc.) in real workflows
• Experience delivering at least one project with AI-assisted development
• Ability to structure tasks for AI tools and critically validate their output
• Upper Intermediate level of English for effective communication

WILL BE A PLUS

• Experience configuring AI development environments (agents integrations workflows)
• Familiarity with LLMs embeddings and RAG architectures
• Experience with vector databases (pgvector FAISS etc.)
• Familiarity with AI/agent frameworks (LangChain LlamaIndex etc.)
• Experience with dbt Kafka BI tools
• Data quality tooling (Great Expectations Soda etc.)
• Multi-cloud experience (AWS/GCP)
• Interest in advanced topics (evaluation reranking drift detection synthetic data)
• Contributions to AI/data tooling or open source

Additional Information :

PERSONAL PROFILE

• Proactive and ownership-driven
• Strong problem-solving and critical thinking skills
• Comfortable working in evolving environments with emerging tools
• Collaborative and able to influence others
• Genuinely interested in the intersection of data engineering and AI

Remote Work :

Yes

Employment Type :

Full-time