Senior Data Engineer F/H

Thales
France
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 15+ yearsEducation: mastersSkills: ["Motivation","Autonomy","Initiative","Responsiveness","Teamwork","Analytical thinking","Communication","Collaborative mindset"]

Build and improve data engineering tools and techniques, collaborating with clients and internal teams to design and deliver innovative solutions. Create technical documentation by gathering data and business needs, and serve as an interface between Data Engineering, customers, and other contributors. Apply DevOps/Continuous Delivery practices and deploy backend and data technologies (e.g., Python, MongoDB) alongside cloud infrastructure components.

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FursaFursa
Thales
Thales
12 hours ago

Senior Data Engineer F/H

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and improve data engineering tools and techniques, collaborating with clients and internal teams to design and deliver innovative solutions. Create technical documentation by gathering data and business needs, and serve as an interface between Data Engineering, customers, and other contributors. Apply DevOps/Continuous Delivery practices and deploy backend and data technologies (e.g., Python, MongoDB) alongside cloud infrastructure components.
Location: France
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Use analytical skills to improve tools and techniques and contribute to designing and developing innovative solutions.
  • •Establish technical documentation by gathering data and business needs.
  • •Act as an interface between the Data Engineering team, clients, and other internal contributors.
  • •Deploy DevOps and Continuous Delivery approaches for development.
  • •Deploy backend/data technologies (including PHP, ASP, C++, C#, Java, Python, Ruby, REST, MongoDB, PaaS) and support DevOps/DevSecOps toolsets and cloud infrastructure (IaaS, CaaS, PaaS).

Key Requirements

  • •BAC+5 (engineering school or university program)
  • •Minimum 15 years of experience in data analysis
  • •Strong mastery of Big Data, NoSQL technologies, and cloud environments
  • •Good knowledge of Python and data processing technologies
  • •Understanding of DevOps, DevSecOps, and MLOps practices
Experience:15+ yearsBig DataNoSQLCloudData engineering
Education:Master's
Skills:MotivationAutonomyInitiativeResponsivenessTeamworkAnalytical thinkingCommunicationCollaborative mindset
Tech Stack:PHPASPC++C#JavaPythonRubyRESTMongoDBPaaSIaaSCaaSDevOpsContinuous DeliveryCI/CDSource Code RepositoryArtifact RepositoryDevSecOpsMLOpsBig Data

Company Brief

Thales
Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 2000
WebsiteLinkedIn