Senior Data Engineer

• 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.

• 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

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

• 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)