Lead Data Engineer at CLP Group

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

0.0

Posted On

23 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, DevOps, Azure Databricks, PySpark, Python, SQL, Terraform, CI/CD Pipelines, ETL, Unity Catalog, Azure DevOps, Git, Jira, Kubernetes, Shell Scripting, Data Governance

Industry

Utilities

Description

Employment duration: Permanent Location Kai Tak You will work closely with Data Architects, Data Scientists, and Data Engineers to enhance and maintain a data platform supporting diverse business models within CLP. This includes conducting feasibility assessments to identify appropriate tools and technologies, developing and optimizing shared platform services, and building data pipelines to ingest, integrate, and manage enterprise data for downstream analytical use by different technical and business stakeholders to generate actionable insights. Reporting to the Principal Manager – Technical Delivery, the appointee will be responsible for the following duties: * This role will, most importantly, require strong hands-on experience in Data Engineering and DevOps. * Build, maintain, and optimize data ETL pipelines for structured and unstructured data while ensuring scalability, data quality, and reliability. * Build, maintain, and optimize CI/CD pipelines for ETL workflows, data assets, cloud infrastructure, and web applications to integrate the data asset landscape with new ERP systems and drive continued adoption of modern AI technologies. * Identify and implement enhancements for the data platform to improve cost efficiency and developer experience (e.g., conduct analyses of existing cloud usage and coordinating within the team to manage cloud costs). * As a data platform administrator, collaborate with data scientists, data engineers, business analysts, project managers, and various business stakeholders to design and deliver data solutions aligned with the latest business goals. * Share cloud engineering, DevOps, and data platform expertise with teammates who specialize in other areas to ensure successful project delivery and adherence to best practices and compliance requirements (e.g., secure by design). * Use AI tools to boost development and delivery productivity * Collaborate with vendors and service providers on solution planning, service delivery, and technical support activities; provide BAU support for IT systems. * Track and visualize KPIs to monitor data platform performance. * Perform other ad hoc tasks as assigned by the supervisor. * Uplift data governance practices and data quality management in the use of data analytics platform Requirements Academic Qualification: * Bachelor’s or master’s degree in a related field (e.g. computer science, information technology, data science etc.) Professional Experience: * Bachelor’s degree in information technology, Computer Science, or a related discipline. * At least 10 years of hands-on experience in data analytics, data engineering, platform engineering, DevOps, or related fields. If the candidate has less than 10 years’ experience we can consider him/her for a data engineer position. * Proven expertise in cloud data analytics, preferably Azure Databricks with pyspark, including platform operations, data governance via Unity Catalog, and integrations and connections between different cloud and other services. * Hands-on experience with cloud services (preferably Azure). * Proficiency in Jira, Git, and Azure DevOps. Experience with containerization is an advantage (e.g., Kubernetes, Helm, Istio). * Hands-on experience with Python programming, SQL, shell scripting, and terraform. * Good-to-have hands-on experience with Oracle ERP solutions, web application development (e.g., Vue, Spring Boot, FastAPI). * Experience on using AI tools to uplift development productivity of individuals and team (e.g. Github Copilot, Claude Code, OpenCode, Codex, etc) * A strong sense of proactive teamwork, ownership, problem-solving, and time management. * Excellent communication skills to explain concepts to stakeholders of all backgrounds and levels of proficiency. ABOUT CLP CLP was founded in Hong Kong in 1901, at a time when electricity was still a novelty worldwide. Today we power millions of homes and businesses across the Asia-Pacific region with over 8,000 employees. In Hong Kong, we operate a vertically integrated electricity business providing a highly reliable supply of electricity to over 80% of the city’s population. Outside Hong Kong, we invest in the energy sector on the Chinese Mainland, in Australia, India, Taiwan Region and Thailand. Our business spans the electricity value chain ranging from power generation, transmission and distribution to retail and smart energy services. We have a diversified portfolio of generating assets that uses a wide range of fuels sources including nuclear, renewables, gas and coal.  To meet the evolving needs of energy users in a world being reshaped by decarbonisation and digitalisation, we strive to embrace new opportunities and expand our horizons as we fulfil our purpose to Power Brighter Tomorrows. 

Responsibilities

The role involves building and optimizing scalable ETL and CI/CD pipelines to support a data platform for diverse business models. The appointee will collaborate with stakeholders to design data solutions and manage cloud infrastructure costs and performance.