Consultant Data Engineer

Ppt Consulting; Brussel; On-site; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Great Place to Work

Equal opportunity employer

Job summary

Sia is a next-generation global management consulting group seeking a Consultant Data Engineer in Brussels. You will join a young, growing Data Science team and lead initiatives on client projects and Sia AI solutions with the French Data Engineering Team.

You will work with Cloud services (GCP/AWS/Azure), Docker, Kubernetes, Python, and ETL pipelines, shaping data platforms while embracing DevOps practices and security considerations in a collaborative culture.

Qualifications

• Master’s Degree with a strong quantitative component.
• 1–3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.
• Proficient in Python; solid foundation in other languages; familiar with PostgreSQL and MongoDB.
• Familiar with at least one cloud platform (GCP/AWS/Azure) or eager to learn.
• Comfortable with Docker, automating CI/CD pipelines; keen on Kubernetes.
• DevOps mindset with code lifecycle responsibility; Gitlab-CE a plus; IaC with Terraform.
• Security-minded with experience in certificate management, HTTPS, OAuth2, credential management.
• Strong interest in data/AI topics; able to quickly build expertise; client-focused.
• Excellent interpersonal and team-working skills.
• Excellent English, Dutch & French verbal and written skills.

Responsibilities

• Work on client projects and build Sia AI solutions with the French Data Engineering Team.
• Leverage Cloud Services (GCP, AWS, Azure): architecture choices, IaC, cost monitoring.
• Containerize and orchestrate apps with Docker and Kubernetes for DS workloads.
• Develop Python server-side tools and ETL pipelines in Big Data environments.
• Manage CI/CD and deployment of data science projects at client sites.
• Support ML model provisioning and related infrastructure.

Skills

Master's degree

1-3 years experience

Python

SQL (PostgreSQL)

NoSQL (MongoDB)

Cloud platforms (GCP/AWS/Azure)

Docker

CI/CD

Kubernetes

Terraform

Security practices

DevOps mindset

Gitlab-CE

English

Dutch

French

Education

Master’s Degree in quantitative field

Tools

Docker

Kubernetes

Terraform

Gitlab-CE

PostgreSQL

MongoDB

Python

CI/CD tools

Job description

AI & Tech

Consultant Data Engineer

Boulevard de Waterloolaan 16, Brussels, Belgium

Company Description

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 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

Sia is certified "Great Place to Work". Come and join us to take part in this great company.

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.