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发布于 2026-10-15 英文原文

数据工程师

Senior Data Engineer

日立製作所

职种数据与人工智能 雇用形态—
工作地点Ho Chi Minh City, Ho Chi Minh, Vietnam 薪资面议

职位概要

日立数字服务(Hitachi Digital Services)招聘数据工程师,加入数据科学团队,在复杂工程环境中工作。主要职责包括:在Databricks中构建和维护数据管道,从多源提取、转换和验证数据;为数据科学项目开发可复用数据集和分析表;确保数据质量与一致性;将数据科学家的分析需求转化为高效可维护的代码,使用PySpark、SQL和Pandas开发数据处理方案;支持机器学习特征工程;排查数据异常并优化查询性能。需与数据科学家及工程相关方紧密协作,参与代码评审、技术讨论和文档编写,并持续改进数据管道与编码规范。必备要求:具备使用Databricks开发分析解决方案的经验,精通PySpark和SQL(含复杂查询优化),熟练使用Python和Pandas,熟悉Airflow、Kafka,有大规模数据集处理经验,能将业务需求转化为技术方案,具备较强的问题解决与调试能力、沟通协作能力及敏捷团队经验。加分项:工程/铁路/交通/制造/工业或资产密集型行业经验,了解机器学习工作流与特征工程,熟悉Delta Lake、Spark优化、Azure数据平台、Power BI或Grafana、Git版本控制,以及Docker、Kubernetes、Flink等。日立提供行业领先的福利、灵活工作安排、多元包容文化和平等就业机会。

职位描述

Function IoT Our Company We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job description About the Role We are seeking a Data Engineer to join our Data Science team within a complex engineering environment. Working closely with Data Scientists and engineering stakeholders, you will be responsible for translating analytical requirements into scalable, production-ready code using Databricks and modern data technologies. You will support the development of analytics solutions by extracting, transforming, and preparing data, building reusable datasets, and implementing analytical workflows. This role is ideal for someone who enjoys hands-on coding, problem solving, and working with large datasets, while contributing to real-world engineering and operational improvements. Key Responsibilities Data Engineering & Preparation Build and maintain data pipelines within Databricks. Extract, transform, and validate data from multiple sources. Develop reusable datasets and analytical tables for Data Science projects. Ensure data quality, consistency, and reliability across analytical workflows. Analytics Development Translate requirements from Data Scientists into efficient and maintainable code. Develop data processing solutions using PySpark, SQL, and Pandas. Support feature engineering activities for machine learning and advanced analytics projects. Investigate data anomalies and support root-cause analysis activities. Optimise data queries and processing logic for performance and scalability. Collaboration Work closely with Data Scientists to support model development and deployment. Collaborate with engineering stakeholders to understand operational data sources and business requirements. Contribute to code reviews and technical discussions. Document datasets, code, and analytical processes. Continuous Improvement Identify opportunities to improve existing data pipelines and analytical processes. Promote coding standards and best practices. Stay up to date with developments in Databricks, Spark, and modern data platforms. Essential Requirements Experience developing analytical solutions using Databricks. Strong proficiency in PySpark. Strong SQL skills, including writing and optimising complex queries. Experience using Python and Pandas for data analysis and transformation. Familiar with Airflow, Kafka Experience with with Docker, Kubernetes is a plus Experience with other stream processing like Flink is a plus Experience working with large-scale datasets. Ability to understand business requirements and translate them into technical solutions. Strong problem-solving and debugging skills. Good communication and stakeholder engagement skills. Experience working in collaborative Agile teams. Desirable Requirements Experience within engineering, rail, transportation, manufacturing, industrial, or asset-intensive industries. Exposure to machine learning workflows and feature engineering. Experience with Delta Lake and Spark optimisation. Familiarity with Azure Data Platform technologies. Knowledge of Power BI or Grafana. Experience using Git/version control. About us We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Hitachi brings together the world’s greatest minds to help breathe life into new possibilities – and drive innovation for a better future. That’s why we look for individuals who share our pioneering spirit, have imaginative ideas and are fearless when it comes to tackling the world’s biggest challenges. Our people love technology – and they love making a difference. They have a passion for finding new solutions and working with brilliant colleagues. Every day they dedicate themselves to a huge range of exciting projects, contributing to the Hitachi vision around the globe. From engineering new sustainability solutions that conserve water and energy to creating the infrastructure for the smart cities of tomorrow, there’s no challenge too great for our pioneers. And there’s no shortage of opportunities for you to make a difference. Come and experience the dynamic, collaborative and creative environments where your ideas are welcome and new discoveries are waiting. To help you grow to your full potential, we strive to support our employees in their career aspirations and promote the freedom to explore new horizons. 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