Our professions

Data Engineer

The Data Engineer designs and maintains scalable data architectures to collect, process and deliver reliable data. Discover the role and career at T&S.

Launch Date
March 2025
PROJECT TYPE
Mission-critical systems modernization
Client
Société Générale
CONTEXT
Banking, market data and payment services
Data Engineer

Mission

The Data Engineer designs, builds, and maintains scalable data architectures that enable organizations to collect, process, store, and analyze large volumes of data. They ensure the availability, reliability, and quality of data across the organization, providing the foundation for business intelligence, analytics, artificial intelligence, and data-driven decision-making.

Main Activities

  • Design, develop, and maintain data pipelines and ETL/ELT processes.
  • Build and optimize data warehouses, data lakes, and data platforms.
  • Integrate data from multiple internal and external sources.
  • Ensure data quality, consistency, and governance across systems.
  • Monitor and optimize data processing performance and scalability.
  • Collaborate with Data Analysts, Data Scientists, Product Owners, and business stakeholders.
  • Implement data security, compliance, and access management best practices.
  • Support cloud migration and modernization initiatives within data ecosystems.
  • Troubleshoot data-related issues and contribute to continuous platform improvements.

Technical Skills

  • Data pipeline development and orchestration.
  • ETL/ELT frameworks and data integration tools.
  • SQL and database management systems.
  • Programming languages such as Python, Scala, or Java.
  • Data warehousing and data lake architectures.
  • Big Data technologies (Spark, Hadoop, Kafka).
  • Cloud data platforms (AWS, Azure, Google Cloud Platform).
  • Data modeling and database design.
  • Data governance, quality, and security principles.
  • CI/CD, DevOps, and Infrastructure as Code practices.

Soft Skills

  • Strong analytical and problem-solving abilities.
  • Attention to detail and data quality focus.
  • Effective communication and stakeholder collaboration.
  • Ability to work in cross-functional and Agile environments.
  • Adaptability to evolving technologies and business needs.
  • Organizational and prioritization skills.
  • Curiosity and continuous learning mindset.
  • Ownership and accountability.
  • Career Opportunities
  • CTA to the offer
Our recruitment process

Simple, fast, respectful

Our commitment — Every application receives a response and a transparent recruitment process.

Step 01
Application reviewed within 7 working days.

Operational framing, technical alignment and project governance.

Step 02
First conversation with Talent Acquisition

Industrial layouts, mechanics, automation studies and production workflows.

Step 03
Interview(s) with managers and practice leaders.

Assembly, integration, wiring and industrial realisation.

Step 04
Offer within 5 working days, with reflection period

Factory Acceptance Testing, validation and commissioning preparation.

Our labels and commitments