Consultant Data Engineer
Amsterdam, Netherlands
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDevelop ETL data pipelines in Big Data environments
Manage cloud architecture, storage, compute and cost optimization
Containerize applications and manage Kubernetes clusters for Data Science workloads
Manage CI/CD pipelines and deployment of Data Science projects at client sites
Build server-side Python tools such as bulk data processing and REST API servers
From the employer’s posting
Data pipelines: development of ETL scripts in Big Data environments
Cloud Services at GCP, AWS and Azure: architecture choices, use of storage & compute services, cost monitoring and optimization
management of K8s clusters adapted to Data Science workloads
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
Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...)
What you’ll bring
All qualificationsCore experience
- You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.
Qualification wording
You have 1-3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.
Education & alternatives
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.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Docker
- GCP
- Kubernetes
- MongoDB
- NoSQL
- PostgreSQL
- Terraform
Source — Tool mentions in context
- 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
- 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.
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
- 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.
- 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, ...)
- 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 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)
Posting record
Report an errorLikely evergreenReposted 5 times since Jul 2, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 21
- Last seen by us
- Oct 29, 2026
- Reposted
- 5 times since Jul 2, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
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 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.
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Amsterdam, Netherlands
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.
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