Senior Data Engineer

Talent Fields Hong Kong Company Limited

Talent Fields Hong Kong Company Limited

深水埗區

月薪 HK$50,000 -HK$60,000

2025年12月9日

職責描述

  • Job Overview
    • We are looking for a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines, infrastructure, and analytics solutions that facilitate data-informed decision-making across the organization.
    • You will work closely with data scientists, analysts, product managers, and engineering teams to convert raw data into actionable insights, ensuring data quality, reliability, and performance.
    • This role demands deep expertise in data engineering best practices, cloud technologies, and big data tools, with an emphasis on delivering robust, efficient, and secure data systems.
  • Key Responsibilities
    • Data Pipeline Design & Development
      • Architect, build, and maintain end-to-end scalable data pipelines (ETL/ELT) to ingest, process, transform, and load data from various sources (APIs, databases, flat files, streaming platforms, etc.).
      • Optimize pipeline performance, latency, and resource utilization to manage large volumes of structured/unstructured data (terabytes/petabytes).
      • Implement data validation, cleansing, and enrichment logic to ensure high data quality and integrity.
    • Data Infrastructure & Architecture
      • Design and maintain data storage solutions (data lakes, data warehouses, data marts) using cloud-native technologies (AWS, Azure, GCP) or on-premises systems.
      • Evaluate and integrate new data tools, frameworks, and technologies to enhance the data engineering ecosystem (e.g., Apache Spark, Kafka, Airflow, dbt, Snowflake, BigQuery).
      • Ensure data infrastructure complies with security, compliance, and governance standards (GDPR, HIPAA, SOC 2, etc.).
    • Collaboration & Cross-Functional Leadership
      • Partner with data scientists and analysts to understand business requirements and design data models/schemas that support analytics, machine learning, and reporting use cases.
      • Provide technical guidance and mentorship to junior data engineers, promoting knowledge sharing and best practices.
      • Collaborate with DevOps teams to implement CI/CD pipelines for data engineering workflows, enabling automated testing, deployment, and monitoring.
    • Monitoring & Optimization
      • Develop and implement monitoring, alerting, and logging systems to proactively identify and resolve pipeline failures, bottlenecks, and performance issues.
      • Continuously optimize data systems for cost efficiency, scalability, and reliability, conducting regular audits and performance tuning.
    • Data Governance & Compliance
      • Implement data access controls, encryption, and data lifecycle management policies to safeguard sensitive information.
      • Collaborate with data governance teams to define and enforce data standards, metadata management, and data lineage documentation.

僱用形式 ： 全職

上班模式 ： 辦公室或指定地點工作

工作地點 ： 深水埗區

工作時間 ： 9:00-18:00

工作性質 ： 電訊 / 資訊科技 / 網絡 / 軟件開發 / 數據分析

入職要求

  • Requirements & Qualifications
  • Technical Skills
    • Programming & Scripting: Proficiency in Python (primary) and SQL; experience with additional languages such as Java and Scala is a plus.
    • Big Data & Streaming: Expertise in big data frameworks (Apache Spark, Hadoop, Flink) and streaming platforms (Apache Kafka, Kinesis).
    • Data Pipeline Tools: Hands-on experience with ETL/ELT tools and data integration technologies.
    • Cloud & Storage: Deep knowledge of cloud platforms (AWS S3/Redshift/Glue, Azure Blob/Synapse, GCP GCS/BigQuery) and data storage solutions (data lakes, warehouses, NoSQL databases like MongoDB/Cassandra).
    • DevOps & Automation: Experience with CI/CD tools, infrastructure as code, and containerization.
    • Data Governance: Familiarity with data quality tools (Great Expectations), metadata management, and compliance frameworks (GDPR, CCPA).
  • Professional Experience
    1. 7+ years of progressive experience in data engineering, focusing on building scalable data pipelines and infrastructure.
    2. Proven track record of designing and implementing data solutions for enterprise-level applications, preferably in energy, technology, or related industries.
    3. Experience working in cross-functional teams (data science, product, engineering) to deliver data-driven projects.
    4. Strong problem-solving skills with the ability to troubleshoot complex data systems.
  • Education & Certifications
    1. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field.
    2. Relevant certifications (AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate, Google Professional Data Engineer) are highly desirable.
  • Soft Skills
    • Excellent communication skills in English and Mandarin, with the ability to translate technical concepts to non-technical stakeholders.
    • Strong leadership and mentorship abilities, focusing on fostering a culture of continuous improvement.
    • Detail-oriented, proactive, and capable of managing multiple projects in a fast-paced environment.
    • Passion for learning new technologies and staying updated with industry trends.

最低學歷要求 ： 學士學位

工作經驗年資 ： 7 年

衣著要求 ： 半正式休閒

待遇及福利

薪金 ： 月薪 HK$50,000 -HK$60,000 / 銀行轉賬

福利 ： 五天工作 年假 (優於香港法例要求) 銀行假期 有薪用膳時間

查詢及遞交求職申請

聯絡人 ： Hong Kong Talent Fields

申請方式 ：

關鍵字

Engineer data analysis Talent Fields Hong Kong Company Limited

關於我們

Talent Fields is registered migration Agency in Hong Kong which offers all visa processing, Company Registration, Bookkeeping, HR consulting, Payroll & Accounting services.

此公司的其他職位空缺

系統參考編號 ： J000076938310

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