Data Engineer Lead 54K

About Our Client

Our client is a technology-focused organisation operating a modern cloud data environment. The team works closely with business and technical stakeholders to deliver data, analytics, and machine learning capabilities through scalable engineering solutions.

Job Description

• Lead and develop a team of data engineers, providing coaching to strengthen technical capability and delivery excellence.
• Offer hands-on technical direction by defining engineering best practices, reviewing solution designs and code, and promoting high-quality outcomes.
• Propose and detail solution designs that align with established architecture standards, governance requirements, and delivery frameworks.
• Communicate technical approaches effectively to stakeholders and project teams, explaining key design choices and associated trade-offs.
• Guide the development and optimisation of Apache Spark workloads on AWS EMR for both batch and real-time data processing.
• Oversee the design and management of streaming API solutions supporting real-time ingestion, consumption, and data delivery.
• Support self-service data access for data science users through curated data assets and governed delivery mechanisms, recommending suitable implementation approaches.
• Advocate strong MLOps practices, including model deployment, monitoring, and lifecycle support within the platform environment.
• Contribute to the delivery of lightweight user-facing and service-layer components using React and Node.js within a Backend-for-Frontend architecture.
• Collaborate with stakeholders, data science teams, and platform specialists to convert business requirements into scalable, secure, and cost-efficient solutions.
• Drive best practices in data governance, covering data quality, lineage, integrity, and security throughout the data lifecycle.
• Participate in emerging AI and generative AI-related initiatives, contributing ideas and technical input where appropriate.

The Successful Applicant

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline, or equivalent industry experience.
• At least 6 years of experience in data engineering, including demonstrated experience leading and mentoring engineering teams.
• Strong technical leadership capabilities with experience establishing standards, mentoring engineers, and reviewing designs and code.
• Ability to communicate and present technical solutions effectively to both technical and non-technical audiences.
• Proven hands-on expertise with Apache Spark running on AWS EMR, including pipeline architecture, performance optimisation, and cost management.
• Experience designing and supporting streaming API services for real-time data ingestion, consumption, and API-driven delivery.
• Solid experience across AWS data services including S3, Glue, Lake Formation, Athena, Redshift, Step Functions, and Lambda.
• Proficiency in Python, with additional expertise in technologies such as React and Node.js within a Backend-for-Frontend architecture preferred.
• Ability to contribute solution concepts and detailed designs within defined architecture standards, delivery patterns, and governance frameworks.
• Understanding of MLOps principles and experience supporting self-service capabilities for data science teams.
• Experience with streaming and messaging technologies such as Kafka or Spark Streaming, along with strong SQL and data modelling skills.
• Interest in or exposure to AI and generative AI technologies is advantageous but not a primary requirement.
• Excellent communication, stakeholder engagement, and coaching abilities.
• Fluent Cantonese and English language skills are required; Mandarin is an advantage.
• Previous experience within a consulting, professional services, or technology services environment is preferred.

What's on Offer

• Competitive monthly salary.
• Usual contractor benefits offered by the organization.

Data Engineer Lead role in Hong Kong