Senior Data Engineer at CLP Group

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

Full Time

Start Date

Immediate

Expiry Date

24 Sep, 26

Salary

0.0

Posted On

26 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL Pipelines, CI/CD, Azure Databricks, Unity Catalog, Azure DevOps, Python, SQL, Terraform, Kubernetes, Shell Scripting, Jira, Git, Data Governance, Cloud Infrastructure, LLMOps, FastAPI

Industry

Utilities

Description

Employment: 1-year contract Location: Kai Tak Responsibilities * 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., conducting 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). * 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. Requirements * Bachelor’s degree in information technology, Computer Science, or a related discipline. * 3-5 years of hands-on experience in data analytics, data engineering, platform engineering, DevOps, or related fields. * Proven expertise in cloud data analytics, preferably Azure Databricks, 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), or agentic AI development and LLMOps (e.g., LangChain, MCP). * 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. * Less experience with good attitude will be considered as DevOps Engineer 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

Build and optimize scalable ETL and CI/CD pipelines to integrate data assets with ERP systems and AI technologies. Collaborate with stakeholders to design data solutions and manage cloud platform costs and performance.