Consultant Data Engineer - Google Cloud (GCP)

Sia Partners; Amsterdam; On-site; EUR 60,000 - 90,000; Full time

Job summary

Sia Partners is seeking a Consultant Data Engineer to work on Google Cloud (GCP) data, compute and ML workloads, building data pipelines and deploying data solutions. You will collaborate with our French Data Engineering team on client projects and internal Sia AI initiatives.

You should have a Master’s degree with a quantitative focus and 1–3 years in Data/DevOps/Cloud roles, with Python and SQL/mongo experience and a willingness to grow in Kubernetes and cloud services.

Qualifications

• Master’s Degree with a strong quantitative component (e.g., Econometrics, Physics, Mathematics, Statistics).
• 1–3 years of relevant experience in Data, DevOps, Cloud or Software Engineering.
• Strong Python skills and solid foundation in other languages; familiarity with at least one SQL DBMS (ideally PostgreSQL) and ideally noSQL (MongoDB).
• Familiarity with at least one cloud services platform (GCP, AWS, Azure) or a strong appetite to learn.

Responsibilities

• Work on diverse client projects and build Sia AI solutions with the French Data Engineering team.
• Develop data pipelines and ETL processes in Big Data environments.
• Handle Google Cloud (GCP) data, compute, storage, IAM, and cost optimization; contribute to Infrastructure as Code and CI/CD pipelines.
• Support deployment of Data Science projects at client sites and internal platforms.

Skills

Python programming

CI/CD

Data pipelines

Cloud data engineering

Education

Master’s Degree (quantitative)

Tools

Docker

Kubernetes

PostgreSQL

MongoDB

Job description

Consulting

Consultant Data Engineer - Google Cloud (GCP)

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 help clients initiate, navigate and benefit from transformation. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries.

The Data Science team is young, diverse and growing. As the team is 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 also strive for well-being 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:

• Google Cloud (GCP): Hands-on experience with Google Cloud computing, data, and AI/ML services, including cloud architecture, compute and storage, IAM, cost optimization, and Infrastructure as Code. Experience applying GCP to data engineering and/or machine learning workloads is required.
• Docker and Kubernetes: containerization and 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 and 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.