Senior Data Engineer at SOCOTEC

Confirmed open

SOCOTEC is recruiting for the Senior Data Engineer role in Cầu Giấy, Vietnam. The work includes develop end-to-end data pipelines (ingestion, transformation, modeling, exposure) and contribute to the implementation of visualizations in.

SOCOTEC

Search jobs by company: SOCOTEC

Location: Cầu Giấy, Vietnam
Employment: Full-time
Technologies: AWS, SQL, Databricks

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Role overview

{"uuid":"da18bfec-910c-4bc1-ae2d-463ad1c3fc80","applyUrl":"https://jobs.smartrecruiters.com/Socotec/744000147850380-senior-data-engineer","jobAdLanguageCode":"en","jobTitle":"Senior Data Engineer","jobAdLocation":"11 Ng. 15 P. Duy Tân, Cầu Giấy, Hà Nội 100000, Vietnam","employmentType":"Full-time","jobFields":[],"content":{"sections":{"companyDescription":{"title":"Company Description","text":" 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

"},"jobDescription":{"title":"Job Description","text":" - 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.

Responsibilities

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 in Databricks would be appreciated.
- Clear communication in English or French.
- experience in collaborative development environments: Git, GitLab, Jupyter Notebooks, VS Code.
- Valued Understanding of AWS cloud services.
- Exposure to 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 Able to quickly learn new tools and paradigms.
- Autonomy, service-oriented mindset, an.

Technology in this role

AWS: - Valued Understanding of AWS cloud .
SQL: 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 "},"jobDescription":{"title":"Job Description","text":" - Develop end-to-end data pipelines .
Databricks: 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 "},"jobDescription":{"title":"Job Description","text":" - Develop end-to-end data pipelines .
C: Duy Tân, Cầu Giấy, Hà Nội 100000, Vietnam","employmentType":"Full-time","jobFields":[],"content":{"sections":{"companyDescription":{"title":"Company Description","text":" SOCOTEC VIETNAM is a technical support platform for the SOCOTEC GROUP providing expert services on a range .
Kafka: - Good understanding of Big Data architecture and distributed processing tools (Spark, Hadoop, Airflow, Kafka, Delta Lake, .
Spark: - Good understanding of Big Data architecture and distributed processing tools (Spark, Hadoop, Airflow, Kafka, Delta Lake, .
Airflow: - Good understanding of Big Data architecture and distributed processing tools (Spark, Hadoop, Airflow, Kafka, Delta Lake, .
Git: - experience in collaborative development environments: Git, GitLab, Jupyter Notebooks, VS .
CI/CD: - Exposure to ETL/ELT principles, Data Lakehouse, and DataOps (CI/CD, monitoring, data .
Hadoop: - Good understanding of Big Data architecture and distributed processing tools (Spark, Hadoop, Airflow, Kafka, Delta Lake, .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Senior Data Engineer position at SOCOTEC is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “{"uuid":"da18bfec-910c-4bc1-ae2d-463ad1c3fc80","applyUrl":"https://jobs.smartrecruiters.com/Socotec/744000147850380-senior-data-engineer","jobAdLanguageCode":"en","jobTitle":"Senior Data Engineer","jobAdLocation":"11…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the technical area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “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.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable.

Benefits

- 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.

About SOCOTEC

SOCOTEC provides testing, inspection and engineering services. These technology roles support its digital products and data systems.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

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Source checked: 2026-11-08

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