Data Engineer

About the role

We are seeking a Data Engineer to design and operate scalable data pipelines while building intelligent AI solutions within our Azure‑centric ecosystem. The role blends core data engineering expertise with hands‑on development of enterprise‑grade AI agents and services.

Key responsibilities

• Develop and deploy AI agents using Azure Agent Foundry, OpenAI, LangChain and N8N.
• Build Retrieval‑Augmented Generation (RAG) pipelines, embeddings, vector‑database integrations and knowledge‑graph solutions.
• Design, implement and maintain scalable ETL/ELT workflows and data architectures.
• Create and manage APIs and data services that support AI and analytics workloads.
• Optimize machine‑learning workflows on Azure Databricks and integrate them with Azure Fabric.
• Ensure data quality, reliability, governance and compliance across all platforms.
• Collaborate with data scientists, ML engineers and product teams to deliver intelligent features.
• Support MLOps and DevOps processes, including CI/CD, model lifecycle management and containerised deployments.

Required profile

• Bachelor’s degree in Computer Science, Engineering, Data Science or a related field.
• Minimum 3 years of experience in Data Engineering, AI Engineering or ML Engineering.
• Proven track record delivering scalable AI or data solutions in cloud environments, preferably Azure.

Required skills

• Python
• SQL
• PySpark
• Azure Agent Foundry
• OpenAI APIs
• LangChain
• N8N
• RAG pipelines and embeddings
• Vector databases
• Knowledge‑graph development
• ETL/ELT workflow design
• API development
• Azure Databricks
• Azure Fabric
• MLOps and DevOps practices
• CI/CD pipelines
• Containerisation (Docker/Kubernetes)