Key Skills

Job Description

Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today’s world of change and disruption, optimism is a force multiplier. 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 optimisation, role management, Infrastructure as Code Docker and Kubernetes: containerisation & 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 a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you’re excited about helping our clients seize the opportunities they offer. You have excellent interpersonal and team working skills Excellent English and Dutch verbal and written skills are required. Additional Information Unfortunately, we are unable to provide a work permit for this position Non-Dutch speaker will no be accepted 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.

Core Responsibilities

Build and maintain cloud infrastructure, data pipelines, CI/CD processes, and Python-based tools for client projects and Sia’s AI solutions. Support the deployment and lifecycle management of data science and machine learning applications, including container orchestration, security, and infrastructure optimization.

Requirements

A master’s degree with a strong quantitative component and 1–3 years of relevant experience in data, DevOps, cloud, or software engineering are required. Candidates should have strong Python skills, familiarity with databases and cloud platforms, Docker, CI/CD, Infrastructure as Code, application security, and excellent English and Dutch communication skills.