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SOCOTECSenior Data Engineer
LocationCầu Giấy, Hà Nội, vn
Work modehybrid
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentSOFTWARE & IT SERVICES
Company size10,000+ people
PostedSep 7, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Big Data, Computer Science, or Software Engineering
At least 3 years of experience in Data Engineering
Strong mastery of SQL and NoSQL databases
Good understanding of Big Data architecture and distributed processing tools (Spark, Hadoop, Airflow, Kafka, Delta Lake, etc.)
Good communication skills in English or French
Experience with collaborative development environments: Git, GitLab, Jupyter Notebooks, VS Code
Familiarity with ETL/ELT principles, Data Lakehouse, and DataOps (CI/CD, monitoring, data quality)
Interest in emerging technologies, particularly Generative AI and its integration into Data platforms
Team spirit, rigor, and sense of collaboration in an agile environment
Technical curiosity and ability to quickly learn new tools and paradigms
Autonomy, service-oriented mindset
Prior experience with Databricks
Valued knowledge of AWS cloud services
Skills
Power BI
Databricks SQL
Databricks GenIE
SQL
NoSQL
Spark
Hadoop
Airflow
Kafka
Delta Lake
Databricks
Git
GitLab
Jupyter Notebooks
VS Code
AWS
CI/CD
Benefits
Annual bonus
Flexible hours
Paid time off
Remote work
Team building
Sports clubs
Training
Company Description
SOCOTEC VIETNAM is a technical support platform for the SOCOTEC GROUP providing expert services on a range of projects in testing, inspection and certification (TIC) in the construction and infrastructure sectors. Around the globe, more than 15,000 experts in 26 countries across 5 continents deliver professional services in construction, buildings & real estate, infrastructures, environment & safety and certification.
We are currently expanding our SOFTWARE & IT SERVICES team and are looking for a Senior Data Engineer to join our growing team and help deliver high-quality projects to our client
Job Description
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Develop end-to-end data pipelines (ingestion, transformation, modeling, exposure) and contribute to the implementation of visualizations in Power BI or Databricks SQL.
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Continuously improve the SOCOTEC Lakehouse, particularly in the areas of governance, quality, and data pseudonymization.
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Experiment with generative AI solutions applied to data, such as Databricks GenIE, to transform text queries into actionable insights.
Qualifications
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Bachelor’s degree in Big Data, Computer Science, or Software Engineering with a strong specialization or appetite for data and distributed architectures. At least 3 years of experience in Data Engineering
•
Strong mastery of SQL and NoSQL databases (modeling, optimized queries, integrity, and performance).
•
Good understanding of Big Data architecture and distributed processing tools (Spark, Hadoop, Airflow, Kafka, Delta Lake, etc.).
•
Prior experience with Databricks would be appreciated.
•
Good communication skills in English or French.
•
Experience with collaborative development environments: Git, GitLab, Jupyter Notebooks, VS Code
•
Valued knowledge of AWS cloud services.
•
Familiarity with ETL/ELT principles, Data Lakehouse, and DataOps (CI/CD, monitoring, data quality).
•
Interest in emerging technologies, particularly Generative AI and its integration into Data platforms.
•
Team spirit, rigor, and sense of collaboration in an agile environment.
•
Technical curiosity and ability to quickly learn new tools and paradigms.
•
Autonomy, service-oriented mindset, an
Additional Information
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Attractive salary and bonus with annual revision.
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42 hours per week (30 minute early finish every Friday), flexible working hours options
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15 annual leave days (Women) & 13 annual leave days (Men) - increasing with length of service & seniority, 15 working from home days each year
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Team-building activities, Sport Clubs
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Cooperation with colleagues around the world in a leading global group
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Strong team spirit in an entrepreneurial environment of a growing company
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People values, social responsibility, and sustainability.
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Opportunities for self-development and career advancement
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Internal training courses (technical, foreign language, soft skills)