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Consultant Data Engineer

Sia Open · verified Oct 24, 2026
Hybrid Maastricht Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Sia. Maastricht · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationMaastricht
WorkplaceHybrid
EmploymentFull-time
PostedOct 12, 2026 · 12d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build cloud environments, choosing storage and compute services while tracking costs and managing access
  • Package applications with Docker and Kubernetes, including clusters configured for data science workloads
  • Write Python tools for bulk data handling, REST APIs and authentication
  • Run CI/CD workflows and support data science deployments at client sites
  • Create ETL pipelines and implement infrastructure and services for machine learning models

What you bring

  • A master’s degree with substantial quantitative coursework, such as mathematics, statistics or another listed field
  • One to three years in data, DevOps, cloud or software engineering, plus strong Python skills and grounding in another language
  • You can use Docker, automate CI/CD pipelines and work with Infrastructure as Code concepts
  • You speak and write English and Dutch well, and have experience applying application security measures

Who this fits

This role suits someone early in their data, DevOps, cloud or software engineering career who wants to build data and machine-learning infrastructure across client work and internal solutions. The position is hybrid in Maastricht and involves working with the French data engineering team. Sia cannot provide a work permit for this role.

From the employer

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.

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.
  • 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.

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.