Senior/Lead Data Engineer

freeC's Client

• Lead the architecture design and end-to-end development of a modern, cloud-native data platform on Snowflake, aligned with Lakehouse architecture principles.
• Design, implement, and own high-performance ETL/ELT pipelines, ensuring scalability, reliability, and reusability.
• Build and optimize data models (star schema, normalized models) to support analytics, BI, and machine learning workloads.
• Collaborate closely with Data Scientists and AI Engineers to deliver training data pipelines, model inference layers, and agent-ready data services.
• Manage the integration of structured and unstructured data sources, ensuring robust data governance, security, and compliance standards.
• Promote best practices in code quality, documentation, testing, and CI/CD across the data engineering function.
• Mentor junior and mid-level engineers, perform code reviews, and foster a culture of technical excellence.
• Engage directly with global product and business stakeholders in English, including requirement analysis, solution design, and architectural presentations.
• Contribute to the development of AI-driven data services and intelligent agents, leveraging real-time data and vector-based retrieval.
• Drive performance optimization, cost efficiency, and infrastructure scalability across the data platform.

REQUIREMENTS

• 5+ years of hands-on experience in data engineering or large-scale data platform development.
• Proven, in-depth expertise with Snowflake, including platform architecture, performance tuning, cost optimization, and ELT pipeline design.
• Advanced proficiency in Python and SQL, with the ability to deliver production-grade, efficient code.
• Solid experience building and orchestrating ETL/ELT workflows using Airflow, dbt, or similar tools.
• Strong understanding of Lakehouse architecture, data warehousing concepts, and large-scale performance optimization.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
• Excellent English communication skills, both written and verbal, with the ability to work effectively with international stakeholders and senior leaders.
• Strong leadership, analytical thinking, and project execution capabilities.

Nice to have

• Experience across the AI/ML lifecycle, including MLOps or AI agent integration (vector databases, embeddings, etc.).
• Hands-on experience with real-time or streaming data pipelines (Kafka, Kinesis, etc.).
• Familiarity with LLM and AI frameworks such as LangChain, OpenAI/Gemini APIs, HuggingFace, or similar tools.
• Knowledge of data governance frameworks, including data cataloging, lineage, and privacy management.
• Background in high-growth environments, particularly AI-focused startups or global technology organizations.

• Full salary during probation period
• Comprehensive healthcare coverage, including annual health check-ups and premium medical insurance
• Annual leave entitlement plus public holidays
• Performance-based bonus reviews conducted twice per year
• Project-based performance incentives
• Annual company trip and team outings upon project completion