JOB DETAILS

Consultant Data Engineer

CompanySia
LocationAmsterdam
Work ModeOn Site
PostedJanuary 21, 2026
About The Company
Sia is an next-generation global consulting group in strategy, artificial intelligence and management. Founded in 1999, we were born digtal. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. Our 3,000 consultants in 19 countries share a strong belief: optimism is force multiplier and we help clients initiate, navigate and benefit from transformation. AI and data science is the powerhouse of Sia, augmenting consulting services and accelerating productivity. With 450 Data Strategists and Experts, 12 R&D Labs, and advanced GenAI Assistants, Sia is positioned as a leader in AI adoption.
About the Role

Company Description

Sia is a next generation management consulting firm and pioneer of Consulting 4.0. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver exceptional value to our clients. With +3000 consultants in 18 countries and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation.  

Job Description

The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow.

As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team:

  • Cloud Services at GCP, AWS and Azure: architecture choices, use of storage & compute services, cost monitoring and optimization, role management, Infrastructure as Code
  • Docker and Kubernetes: containerization & orchestration of applications, management of K8s clusters adapted to Data Science workloads
  • Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)
  • CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites
  • Data pipelines: development of ETL scripts in Big Data environments
  • Infrastructures & Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of their ML models.

Qualifications

  •  You hold a Master’s Degree with a strong quantitative component (e.g. Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)
  • You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.
  • You have a good level in Python and have a solid foundation in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (ideally MongoDB).
  • Ideally, you are already familiar with at least one cloud services platform (GCP, AWS, Azure) with experience mixing different services within the same project. If not, you have a strong appetite to learn more about these topics.
  • You are comfortable using Docker, automating CI/CD pipelines and have a strong appetite for gaining competence in Kubernetes if you do not yet have experience with this solution.
  • You will be able to work in a DevOps culture, taking responsibility for the code lifecycle, from development to deployment and maintenance of applications (mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools (ideally Terraform).
  • You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)
  • You have excellent interpersonal and team working skills
  • Excellent English and Dutch verbal and written skills are required.

Additional Information

We are unable to provide a work permit for this position

 

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Key Skills
Data EngineeringCloud ServicesPython ProgrammingDockerKubernetesCI/CDData PipelinesMachine LearningSQLNoSQLInfrastructure as CodeSecurityTeamworkInterpersonal SkillsGCPAWSAzure
Categories
TechnologyConsultingData & Analytics
Job Information
📋Core Responsibilities
As a Data Engineer Consultant, you will work on various client projects and build Sia AI solutions. You will be involved in cloud services, data pipelines, and supporting Data Science projects.
📋Job Type
full time
📊Experience Level
2-5
💼Company Size
3535
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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