Consultant Data Engineer

Sia; Antwerpen; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Sia is a next-generation, global management consulting group driving transformation through data science, creativity and responsibility. As a Data engineer consultant you will shape the future of our Data Science team while delivering client projects and building Sia AI solutions.

You will work with Python, SQL, and cloud services, containerization with Docker and Kubernetes, and contribute to CI/CD and IaC workflows across multilingual teams in a fast-paced, learning-focused environment.

Qualifications

• Master’s degree with quantitative focus.
• 1–3 years in Data, DevOps, Cloud or Software Engineering.
• Proficient in Python and SQL; familiarity with NoSQL databases.
• Experience with at least one cloud platform (GCP/AWS/Azure).
• Comfort with Docker, CI/CD, and Kubernetes; Infrastructure as Code.
• Strong security awareness and teamwork.

Responsabilités

• Work on client projects and internal Sia AI solutions.
• Design and implement data pipelines and ETL in Big Data contexts.
• Develop server-side tools and REST APIs in Python.
• Manage containerized apps with Docker and orchestrate with Kubernetes.
• Set up CI/CD and Infrastructure as Code practices (GitLab, Terraform).
• Collaborate in a DevOps culture across multilingual teams.

Connaissances

English fluency

Dutch fluency

French fluency

Interpersonal skills

Team collaboration

Security awareness

Data & AI interest

Formation

Master’s Degree with quantitative component

Outils

GCP

AWS

Azure

Docker

Kubernetes

Terraform

GitLab CI/CD

PostgreSQL

MongoDB

Description du poste

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

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 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, Dutch & French 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.