Senior Data EngineerSOCOTEC

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

- 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.

- 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)

- Master'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