Time since we first saw it
Day 3
Early. Similar jobs usually come down between day 6 and day 54.
From 11,573 similar postings that came down. Coming down is not always a hire.
Courbevoie, Ile-de-France, FR
Actively hiring, first seen by us 3 days agoWHAT WE OFFER Salary: €68,000 - €70,000 according to your profile. Company benefits will be presented during recruitment process.Read the full posting
Keep the data platform available, secure, performant and cost-efficient
Define the technical roadmap and lead platform upgrades and migrations
Help application and AI teams onboard and publish data products
Build and maintain governance services such as catalog, lineage and quality monitoring
Produce adoption and cloud cost dashboards
Ensure the availability, performance, security, and stability of the Data Platform
Define and drive the technical roadmap by assessing and implementing new AWS Data & AI capabilities, leading platform upgrades and migrations
Support application teams in onboarding and publishing data products
Implement and maintain platform services enabling governance and data quality
Produce operational and adoption dashboards, monitor platform usage and consumption trends, track service utilization and cloud costs
WHAT YOU MUST HAVE You hold a Master’s degree in Computer Science, Engineering, or a related field. You have minimum 3 years of experience in a similar Data Platform or Cloud Platform Engineering role, or minimum 7 years of experience as a Data Engineer, ideally with strong AWS experience within large international organizations and a proven track record operating enterprise data platforms supporting Analytics and AI workloads.
We help clients meet compliance, reduce risks, and improve performance.
In the employer’s words · Read in context
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 6 and day 54.
From 11,573 similar postings that came down. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Expertise in data pipeline orchestration and cloud-native data architectures — Allows you to build and maintain robust data ingestion and transformation workflows that deliver trusted data assets at scale and implement secure data sharing patterns. Strong SQL and Python skills — Provides you with the technical foundation to troubleshoot issues, optimize performance, and support teams in their data consumption needs. Good understanding of data governance and data quality technologies — Helps you implement and support platform services enabling metadata management, lineage tracking, and quality monitoring for enterprise-wide governance.
Reporting to the Architecture Manager, you will join a team of experts based in our Head Quarters - Paris. You will work closely with our operational teams and our clients within the framework of building and operating a modern enterprise Data & AI Platform on AWS and Amazon SageMaker Unified Studio to enable AI adoption and AI-driven automation. WHAT YOU WILL ACCOMPLISH
• Ensure the availability, performance, security, and stability of the Data Platform through proactive operations, monitoring, incident resolution, and continuous improvement of reliability and cost efficiency • Define and drive the technical roadmap by assessing and implementing new AWS Data & AI capabilities, leading platform upgrades and migrations, and automating processes through Infrastructure as Code and DevOps practices • Support application teams in onboarding and publishing data products while assisting analytics, BI, and AI teams in accessing data assets through secure sharing patterns, self-service capabilities, and technical guidance
THE SKILLS THAT WILL MAKE YOU STAND OUT Strong experience designing and operating enterprise-scale AWS Data Platforms (including Glue, Redshift, S3, Athena, Lake Formation, SageMaker Unified Studio) — Enables you to ensure the reliability, scalability, and performance of our Data & AI transformation infrastructure while leveraging cutting-edge AWS capabilities to drive platform innovation. Expertise in data pipeline orchestration and cloud-native data architectures — Allows you to build and maintain robust data ingestion and transformation workflows that deliver trusted data assets at scale and implement secure data sharing patterns.
You hold a Master’s degree in Computer Science, Engineering, or a related field. You have minimum 3 years of experience in a similar Data Platform or Cloud Platform Engineering role, or minimum 7 years of experience as a Data Engineer, ideally with strong AWS experience within large international organizations and a proven track record operating enterprise data platforms supporting Analytics and AI workloads. WHAT WE OFFER
Good understanding of data governance and data quality technologies — Helps you implement and support platform services enabling metadata management, lineage tracking, and quality monitoring for enterprise-wide governance. Infrastructure as Code expertise (Terraform) and CI/CD practices — Enables you to automate deployment processes, ensure operational excellence, and accelerate platform evolution through DevOps methodologies. Ability to lead technical initiatives across multiple teams — Ensures successful coordination of platform upgrades, migrations, and enablement activities with application, analytics, and AI stakeholders.
Complete your application on careers.bureauveritas.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Are you attracted to Data & AI transformation and enterprise platform architecture?
Join our team! Working autonomously on varied projects, you will develop your expertise in a stimulating and supportive environment.
YOUR EVERYDAY EXPERIENCE IF YOU JOIN US
As part of Bureau Veritas's Data & AI transformation journey to modernize operations and strengthen quality assurance and compliance, we are recruiting for our Bureau Veritas DxT Foundations team a Data Platform - Technical Lead (F-M-D) on a permanent (CDI) contract.
Reporting to the Architecture Manager, you will join a team of experts based in our Head Quarters - Paris.
You will work closely with our operational teams and our clients within the framework of building and operating a modern enterprise Data & AI Platform on AWS and Amazon SageMaker Unified Studio to enable AI adoption and AI-driven automation.
WHAT YOU WILL ACCOMPLISH
Your mission is to ensure the platform's reliability, scalability, security, and operational excellence, while enabling application, analytics, and AI teams to efficiently publish, discover, govern, and consume data assets, ensuring acceleration of AI adoption across Bureau Veritas. Your role is essential to enable trusted and governed data at enterprise scale.
You will:
• Ensure the availability, performance, security, and stability of the Data Platform through proactive operations, monitoring, incident resolution, and continuous improvement of reliability and cost efficiency
• Define and drive the technical roadmap by assessing and implementing new AWS Data & AI capabilities, leading platform upgrades and migrations, and automating processes through Infrastructure as Code and DevOps practices
• Support application teams in onboarding and publishing data products while assisting analytics, BI, and AI teams in accessing data assets through secure sharing patterns, self-service capabilities, and technical guidance
• Implement and maintain platform services enabling governance and data quality, including metadata management, catalog services, quality monitoring, lineage tracking, access controls, and tooling support for Data Owners and Stewards
• Produce operational and adoption dashboards, monitor platform usage and consumption trends, track service utilization and cloud costs, and identify opportunities to increase platform adoption and value across Bureau Veritas
THE SKILLS THAT WILL MAKE YOU STAND OUT
Strong experience designing and operating enterprise-scale AWS Data Platforms (including Glue, Redshift, S3, Athena, Lake Formation, SageMaker Unified Studio) — Enables you to ensure the reliability, scalability, and performance of our Data & AI transformation infrastructure while leveraging cutting-edge AWS capabilities to drive platform innovation.
Expertise in data pipeline orchestration and cloud-native data architectures — Allows you to build and maintain robust data ingestion and transformation workflows that deliver trusted data assets at scale and implement secure data sharing patterns.
Strong SQL and Python skills — Provides you with the technical foundation to troubleshoot issues, optimize performance, and support teams in their data consumption needs.
Good understanding of data governance and data quality technologies — Helps you implement and support platform services enabling metadata management, lineage tracking, and quality monitoring for enterprise-wide governance.
Infrastructure as Code expertise (Terraform) and CI/CD practices — Enables you to automate deployment processes, ensure operational excellence, and accelerate platform evolution through DevOps methodologies.
Ability to lead technical initiatives across multiple teams — Ensures successful coordination of platform upgrades, migrations, and enablement activities with application, analytics, and AI stakeholders.
Strong stakeholder management and communication skills in global environments — Helps you deliver technical guidance, training, and support while building adoption and satisfaction across diverse international user communities.
WHAT YOU MUST HAVE
You hold a Master’s degree in Computer Science, Engineering, or a related field.
You have minimum 3 years of experience in a similar Data Platform or Cloud Platform Engineering role, or minimum 7 years of experience as a Data Engineer, ideally with strong AWS experience within large international organizations and a proven track record operating enterprise data platforms supporting Analytics and AI workloads.
WHAT WE OFFER
Salary: €68,000 - €70,000 according to your profile.
Company benefits will be presented during recruitment process.
Career Development:
All our positions are open to internal mobility. We encourage professional growth and skills development.
Diversity & Inclusion:
We encourage all qualified candidates to apply, regardless of gender or personal circumstances.
WHO WE ARE
Bureau Veritas is a global leader (84,000 employees in 140 countries) in testing, inspection, and certification services. We help clients meet compliance, reduce risks, and improve performance. Integrity, impartiality, and independence define our culture.
Apply now — you are one click away from your next career step!
YOUR RECRUITMENT PROCESS (IF PRE-SELECTED)
• Initial phone call or an e-mail with the Recruiter (5–10 minutes)
• HR video interview with the Recruiter (45–60 minutes)
• Operational interview(s) with the Architecture Manager et la HRBP
Selected passages from the saved posting. Check the full description for conditions and exceptions.
WHAT WE OFFER Salary: €68,000 - €70,000 according to your profile. Company benefits will be presented during recruitment process.
Courbevoie, Ile-de-France, FR
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.