updated 7 days ago
Data Engineer Consultant
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Job description
Text:
TL;DR
Data Engineer Consultant (Cloud/Data/AI): Building cloud infrastructure, data pipelines, server-side Python tools, and machine learning services for client projects and Sia AI solutions with an accent on multi-cloud architecture, DevOps, and data engineering. Focus on designing scalable cloud environments, automating CI/CD and infrastructure, deploying containerized applications, and implementing secure services for Data Science workloads.
Location: Amsterdam, Netherlands. Non-Dutch speakers will not be accepted, and a work permit cannot be provided.
Company
is a digital management consulting group that combines data, creativity, technology, and responsibility to help clients resolve challenges and pursue opportunities.
What you will do
- Design and manage cloud architectures across GCP, AWS, and Azure, including storage, compute, cost optimization, role management, and Infrastructure as Code.
- Containerize and orchestrate applications with Docker and Kubernetes, including clusters adapted to Data Science workloads.
- Develop server-side Python tools for bulk data processing, REST APIs, authentication, and related services.
- Manage CI/CD pipelines and support deployment of Data Science projects for clients and internal platforms.
- Develop ETL scripts and data pipelines in Big Data environments.
- Implement infrastructure and services that support machine learning model development and delivery.
Requirements
- Master’s degree with a strong quantitative focus, such as econometrics, physics, mathematics, statistics, or quantitative finance.
- 1–3 years of relevant experience in Data, DevOps, Cloud, or Software Engineering.
- Good Python skills, knowledge of another programming language, and experience with at least one SQL DBMS; PostgreSQL is preferred.
- Experience or strong interest in cloud platforms, Docker, CI/CD automation, Kubernetes, Git, and Infrastructure as Code; Terraform is preferred.
- Experience implementing application security measures, including certificate management, HTTPS, OAuth2, and credential management.
- Excellent written and spoken English and Dutch are required.
Nice to have
- Experience with MongoDB, multiple cloud services within one project, Kubernetes, Terraform, or the GitLab-CE ecosystem.
- Interest in data and AI topics and enthusm for developing expertise in these areas.
Culture & Benefits
- Work with a young, diverse, and growing Data Science team.
- Flat structure with strong encouragement for initiative and entrepreneurial thinking.
- Opportunities to shape the future of the Data Science team.
- Focus on well-being, diversity, knowledge-sharing, and collaboration.
- Work across client projects and internal AI solutions with the French Data Engineering team.
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