GCP Data Engineer Consultant - Cloud, Pipelines & ML

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

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.