Senior Data Engineer

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 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 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)