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Sia Partners

Management consulting integrating AI and design

Consultant Data Engineer

Cloud Engineering +1Confirmed live in the last 24 hours
Full-timeMaastricht, NetherlandsNo salary listedHybrid

About the Job

Requirements

  • Hold a Master’s degree with a strong quantitative component, such as Econometrics, Physics, Mathematics, Statistics, or Quantitative Finance.
  • Have 1–3 years of relevant experience in Data, DevOps, Cloud, or Software Engineering.
  • Have a good level of Python and a solid foundation in other languages.
  • Be familiar with at least one SQL database management system; PostgreSQL is preferred, and familiarity with NoSQL databases such as MongoDB is also desired.
  • Be familiar with at least one cloud services platform (GCP, AWS, or Azure), ideally with experience combining different services within a project, or have a strong appetite to learn these topics.
  • Be comfortable using Docker and automating CI/CD pipelines, and be willing to gain competence in Kubernetes if not already experienced with it.
  • Be able to work in a DevOps culture and take responsibility for the code lifecycle from development through deployment and maintenance of applications.
  • Be familiar with Infrastructure as Code concepts and tools such as Terraform.
  • Be sensitive to security issues and have experience implementing application protection solutions, including certificate management, HTTPS security, OAuth2 authentication, and credential management.
  • Have a strong interest in data and AI-related topics and the ability to quickly build expertise in these areas.
  • Have excellent English and Dutch verbal and written skills.
  • Be unable to obtain a work permit through the employer.

Responsibilities

  • Work on various client projects and build the company's AI solutions alongside the French Data Engineering team.
  • Make architecture choices for cloud services on GCP, AWS, and Azure; use storage and compute services; monitor and optimize costs; manage roles; and implement Infrastructure as Code.
  • Containerize and orchestrate applications using Docker and Kubernetes, and manage Kubernetes clusters adapted to Data Science workloads.
  • Develop server-side tools in Python, including bulk data processing, REST API servers, and authentication.
  • Manage integration and ongoing deployment of applications and internal platforms, and support deployment of Data Science projects at client sites.
  • Develop ETL scripts in Big Data environments.
  • Monitor technology and implement infrastructure and services adapted to Machine Learning that are useful to Data Scientists in training and deploying their models.
  • Take responsibility for the application code lifecycle from development to deployment and maintenance.

Desired Qualifications

  • Mastery of the GitLab Community Edition ecosystem is a plus.
  • Familiarity with PostgreSQL is preferred.
  • Familiarity with MongoDB or another NoSQL database is preferred.
  • Experience mixing services within a cloud platform project is preferred.
  • Terraform experience is preferred.

About the Company

Sia Partners

Management consulting integrating AI and design

Sia Partners is a management consulting firm that blends AI and design with traditional advisory to help clients improve performance. Its approach combines thorough analysis of competitive, regulatory, and organizational factors with AI-enabled and design-driven solutions across 30+ sectors, delivered by a global network of 2,400 consultants in 38 countries. It differentiates itself by staying independent from the IT services industry (a pure-player) and embracing a Consulting for Good mindset that creates CSR-enabled, sustainable transformations. Its goal is to become a leading independent management consulting firm in Europe, driving value-driven change for clients and responsible growth.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$12.7M
Headquarters
Paris, France
Founded
1999

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