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Senior Data Engineer

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Onsite

Senior Data Engineer

SOCOTEC

Senior Data Engineer

Skills

SQL QueriesBig DataData EngineeringKafkaDatabricksGitLabAIAWSApache AirflowHadoopPower BI

1 month ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

7 September 2026

What they need


Description Du Poste 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

  • Develop end-to-end data pipelines (ingestion, transformation, modeling, exposure) and contribute to the implementation of visualizations in Power BI or Databricks SQL.
  • Continuously improve the SOCOTEC Lakehouse, particularly in the areas of governance, quality, and data pseudonymization.
  • Experiment with generative AI solutions applied to data, such as Databricks GenIE, to transform text queries into actionable insights.

Qualifications

  • 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

  • Attractive salary and bonus with annual revision.
  • 42 hours per week (30 minute early finish every Friday), flexible working hours options
  • 15 annual leave days (Women) & 13 annual leave days (Men) - increasing with length of service & seniority, 15 working from home days each year
  • Team-building activities, Sport Clubs
  • Cooperation with colleagues around the world in a leading global group
  • Strong team spirit in an entrepreneurial environment of a growing company
  • People values, social responsibility, and sustainability.
  • Opportunities for self-development and career advancement
  • Internal training courses (technical, foreign language, soft skills)

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