Data Engineer

Highlights

• Build scalable data pipelines that power real-world applied AI products.
• Develop intelligent agents that turn data into customer-centric solutions.
• Join an innovation-driven team creating positive societal impact with AI.

What they offer

• Competitive remuneration package
• Healthcare
• Education support
• Leave benefits
• Outstanding learning, development and growth opportunities via structured training programs
• Open, diverse and inclusive environment with global vision

Ideal candidate

Performance-driven, inquisitive engineer with a bias for action who thrives in ambiguity and loves collaborating to build customer-centric AI solutions.

Requirements

• Bachelor's in Computer Science, Engineering, Data Science, or related field
• 3+ years experience in Data Engineering, AI Engineering, or ML Engineering roles
• Experience delivering scalable AI/data solutions in cloud environments (Azure preferred)
• Strong proficiency in Python, SQL, PySpark, and ML/AI frameworks
• Experience with Azure Agent Foundry, OpenAI APIs, LLMOps, RAG systems, and vector databases
• Hands-on experience with Azure Databricks, Azure cloud services, and data platforms
• Knowledge of big data tools (Spark, Hadoop, Flink) and modern data storage (SQL, NoSQL)
• Experience with REST/GraphQL APIs, Kafka/RabbitMQ, Docker/Kubernetes
• Solid understanding of data modeling, ETL, and data quality best practices
• Strong problem-solving, communication, and cross-functional collaboration skills