Data Engineering Lead / Senior Data Engineer (AWS EMR)

Responsibilities

• Lead, coach and mentor a team of data engineers, growing their technical skills and delivery capability.
• Provide technical leadership and hands-on guidance, setting engineering standards, reviewing designs and code, and driving quality across the team.
• Contribute solution ideas and detailed design that align with the client's required architecture practice, patterns and governance.
• Present and articulate technical solutions to client stakeholders and internal teams, clearly explaining design decisions and trade-offs.
• Guide the team in building and optimising Spark on EMR pipelines for batch and streaming data processing.
• Design and guide the handling of streaming API endpoints - real-time data ingestion, consumption and serving through APIs.
• Enable data scientists to self-serve through curated data products and governed access, advising on the best delivery approach.
• Champion good engineering practice around MLOps - supporting model deployment, monitoring and lifecycle management for ML models on the platform.
• Support delivery of lightweight front-end and service components using React and Node.js in a BFF (Backend-for-Frontend) structure.
• Partner with client stakeholders, data scientists and platform teams to translate requirements into robust, secure and cost-effective solutions.
• Promote good practice in data quality, integrity, lineage and security across the data lifecycle.
• Opportunity to gain exposure to AI / GenAI initiatives and contribute ideas as they emerge.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science or a related technical field, or equivalent industrial experience.
• 6+ years of data engineering experience, with a proven track record leading and coaching engineering teams.
• Strong technical leadership skills - able to mentor engineers, set standards, and review designs and code.
• Ability to present and articulate technical solutions clearly to both technical and non-technical stakeholders.
• Hands-on expertise in Apache Spark on AWS EMR (key skill) - pipeline design, performance tuning and cost optimisation.
• Experience designing and handling streaming API endpoints - real-time data ingestion, consumption and API-based serving.
• Solid AWS data platform experience: S3, Glue, Lake Formation, Athena, Redshift, Step Functions and Lambda.
• Proficiency in Python; a strong secondary skill set beyond Python is preferred - React / Node.js in a BFF structure.
• Ability to contribute solution ideas and design within a client's required architecture practice, patterns and governance.
• Understanding of MLOps concepts and experience enabling data scientist self-service.
• Streaming and messaging experience (e.g. Kafka, Spark Streaming) and strong SQL / data modelling skills.
• Interest in or exposure to AI / GenAI initiatives is a plus (not the primary focus of the role).
• Excellent communication, stakeholder management and coaching skills.
• Fluent in Cantonese and English; Mandarin is a plus.
• Previous IT experience in a consulting firm or services vendor is preferred.

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