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Sia Partners

Management consulting integrating AI and design

Data Engineer Consultant

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeAmsterdam, NetherlandsNo salary listedHybrid

About the Job

Requirements

  • A Master's degree with a strong quantitative component, such as Econometrics, Physics, Mathematics, Statistics, or Quantitative Finance.
  • One to three years of relevant experience in Data, DevOps, Cloud, or Software Engineering.
  • A good level of Python and a solid foundation in other programming languages.
  • Familiarity with at least one SQL database management system; PostgreSQL is preferred. Familiarity with NoSQL, ideally MongoDB, is also desired.
  • Familiarity with at least one cloud services platform—Google Cloud Platform, Amazon Web Services, or Microsoft Azure—and experience combining different services within one project, or a strong appetite to learn these topics.
  • Comfort using Docker and automating continuous integration and continuous deployment pipelines, and willingness to build competence in Kubernetes if needed.
  • Ability to take responsibility for the code lifecycle, from development through deployment and application maintenance, in a DevOps culture.
  • Familiarity with Infrastructure as Code concepts and tools; Terraform is preferred.
  • Sensitivity to security issues and experience implementing application protection solutions, including certificate management, HTTPS security, OAuth2 authentication, and credential management.
  • Strong interest in data and artificial-intelligence topics and ability to quickly build expertise in these areas.
  • Excellent interpersonal and teamwork skills.
  • Excellent verbal and written English and Dutch skills.
  • Non-Dutch speakers will not be accepted; the employer is unable to provide a work permit for this position.

Responsibilities

  • Work on various client projects and build the company's AI solutions with the French Data Engineering team.
  • Make architecture choices for cloud services; use storage and compute services; monitor and optimize costs; manage roles; and implement Infrastructure as Code.
  • Containerize and orchestrate applications with 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 the 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, supporting Data Scientists in training and deploying their Machine Learning models.
  • Take responsibility for application code lifecycle from development through deployment and maintenance.

Desired Qualifications

  • Familiarity with PostgreSQL.
  • Familiarity with NoSQL databases, ideally MongoDB.
  • Familiarity with at least one cloud platform—Google Cloud Platform, Amazon Web Services, or Microsoft Azure—and experience combining different services in one project.
  • Existing Kubernetes experience; otherwise, willingness to gain competence in Kubernetes.
  • Mastery of the GitLab Community Edition ecosystem.
  • Familiarity with Terraform.

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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