Consultant Data Engineer

Company Description

Sia Partners is a specialized Management Consulting firm that was founded in 1999 and has expanded to become a global operation with approximately 2800 employees and an annual revenue exceeding $400m. Our culture is heavily oriented towards producing high-quality expertise and delivering excellent results and outcomes for our clients that include a broad spectrum of multinational companies. Our global presence and our proficiency in more than 40 sectors and services empowers us to accompany clients across the globe. By employing innovative technologies such as our own unique in-house apps, social networks, and digital instruments, we deliver a genuinely integrated global service.

Through Consulting for Good, we utilize our expertise to support our clients' climate goals and make sustainable development an advantage for our clients' performance. Our line of service offerings is cross-sectoral and 17 % of our revenue comes from engagements with a CSR emphasis.

Job Description

The Data Science team is fresh, diverse, and growing. As we're relatively small, you will be steering its future. We maintain a flat structure and highly encourage the entrepreneurial mindset of our team members. We also strive for the well-being, diversity, and knowledge-sharing within our team to facilitate mutual growth.

As a Data engineer consultant, you will work on several client projects and on constructing our own Sia AI solutions, in collaboration with our French Data Engineering team:

• Cloud Services at GCP, AWS, and Azure: decisions on architecture, use of storage & compute services, cost monitoring and optimization, role management, Infrastructure as Code
• Docker and Kubernetes: containerization & coordination of applications, administration of K8s clusters suitable for Data Science loads
• Python programming: developing server-side tools (bulk data handling, REST API server, authentication, ...)
• CI/CD: overseeing the integration and continuous deployment of our applications and internal platforms, aiding the deployment of Data Science schemes at our clients' locations
• Data pipelines: devising ETL scripts in Big Data environments
• Infrastructures & Services suited for Machine Learning: technology surveillance and implementation of useful solutions for Data Scientists in the learning and provision of their ML models.

Qualifications

• You have a Master's Degree with a substantial quantitative component (e.g., Econometrics, Physics, Mathematics, Statistics, Quantitative Finance)
• You have 1-3 years of pertinent experience in Data, DevOps, Cloud, or Software Engineering.
• You have a proficient level in Python and a solid grounding in other languages. You are familiar with at least one SQL DBMS (ideally PostgreSQL) and preferably noSQL (ideally MongoDB).
• Preferably, you have experience with at least one cloud services platform (GCP, AWS, Azure) where you've used different services in the same project. If not, you are keen on learning more about these subjects.
• You are comfortable with Docker, automating CI/CD pipelines and are eager to gain proficiency in Kubernetes if you don't already have experience with this solution.
• You can work in a DevOps culture, taking responsibility for the lifecycle of code, from development to deployment and maintaining apps (expertise in Gitlab-CE ecosystem is a bonus). You're also conversant with Infrastructure as Code concepts and tools (preferably Terraform).
• You are aware of security concerns and have experience in implementing application defense solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)
• You have excellent interpersonal and team cooperation skills
• Excellent English and Dutch verbal and written skills are necessary.

Additional Information

We cannot provide a work permit for this position

Non-Dutch speakers will not be accepted