Hanoi, Vietnam
Actively hiring, first seen by us todayTranslate business requirements into robust technical solutions, ensuring alignment with client objectives.
Collaborate with cross-functional teams to design and deploy data architectures (Data Lake, Data Mesh, Data Warehouse, Data Lakehouse).
Develop and maintain data models, ETL processes, and data integration pipelines.
Plan, deliver, and implement intelligent automation solutions, including intelligent character recognition, chatbots/virtual assistants, and AI applications. Translate business requirements into robust technical solutions, ensuring alignment with client objectives. Collaborate with cross-functional teams to design and deploy data architectures (Data Lake, Data Mesh, Data Warehouse, Data Lakehouse).
Translate business requirements into robust technical solutions, ensuring alignment with client objectives. Collaborate with cross-functional teams to design and deploy data architectures (Data Lake, Data Mesh, Data Warehouse, Data Lakehouse). Develop and maintain data models, ETL processes, and data integration pipelines.
Collaborate with cross-functional teams to design and deploy data architectures (Data Lake, Data Mesh, Data Warehouse, Data Lakehouse). Develop and maintain data models, ETL processes, and data integration pipelines. Apply machine learning workflows to analyze, transform, and interpret data for actionable insights.
Strong communication and interpersonal skills; ability to work effectively in a team. Education : Bachelor’s degree in Computer Science, Data Science, or a related field. Job Function
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At SoftwareOne, jobs usually come down by about day 20.
From 11,032 similar postings that came down, and 16 of SoftwareOne’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Strong understanding of data architecture patterns and data integration techniques. Proficiency in programming languages such as Python, R, or Scala. Hands-on experience with cloud data engineering tools (e.g., Azure Data Factory, Azure Fabric, AWS Glue).
Proficiency in programming languages such as Python, R, or Scala. Hands-on experience with cloud data engineering tools (e.g., Azure Data Factory, Azure Fabric, AWS Glue). Familiarity with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (AWS, Azure).
Hands-on experience with cloud data engineering tools (e.g., Azure Data Factory, Azure Fabric, AWS Glue). Familiarity with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (AWS, Azure). Excellent problem-solving skills and attention to detail.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
SoftwareOne is a global software and cloud solutions provider and distributor, powered by around 12,000 people across more than 70 countries. But what really makes us SoftwareOne is our people: curious minds, different perspectives, and talented teams working together to solve real challenges and create meaningful impact. Here, you’ll have the opportunity to grow, explore new possibilities, and build a career that’s uniquely yours, while helping shape what’s next in technology.
Are you passionate about harnessing the power of data and AI to solve real business challenges? Do you thrive on collaborating with clients to deliver innovative automation and analytics solutions? Are you ready to make an impact in a dynamic, client-focused environment?
As a Data and AI consultant, you will work closely with clients to understand their needs, translate business requirements into technical solutions and ensure the successful delivery of intelligenct automation and data driven projects.
Key Responsibilities
Proven experience (3–5 years) in data analysis, AI implementation, or a related field.
Strong understanding of data architecture patterns and data integration techniques.
Proficiency in programming languages such as Python, R, or Scala.
Hands-on experience with cloud data engineering tools (e.g., Azure Data Factory, Azure Fabric, AWS Glue).
Familiarity with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (AWS, Azure).
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills; ability to work effectively in a team.
Education : Bachelor’s degree in Computer Science, Data Science, or a related field.
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Hanoi, Vietnam
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