1 week ago

Consultant Data Engineer

Sia

Maastricht

1 week ago

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Sia, a global management consulting group, seeks a Consultant Data Engineer for their Maastricht office. The role involves working on client projects and building AI solutions, requiring 1-3 years of experience in Data, DevOps, Cloud, or Software Engineering. The position is hybrid and full-time.

AIHybridFull-timeEntry LevelPythonSQL

Consultant Data Engineer

Apply

AIHybridFull-timeEntry LevelPython

Salary

Not specified

Work Location

Maastricht, Limburg, Netherlands, NL

Work Model

Hybrid

Experience Required

3 years

Employment Type

Full-time

Experience Level

1-3 years of relevant experience

Core Qualifications

Technical (Must-have)

PythonSQLPostgreSQLMongoDBGCPAWSAzureDockerKubernetesCI/CDGitLab-CETerraformInfrastructure as CodeOAuth2HTTPS

Soft Skills

interpersonal skillsteam working skillsentrepreneurial spiritinitiativeknowledge-sharing

Preferred Qualifications

Technical (Nice-to-have)

noSQLGitLab-CE

Key Responsibilities

•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

Data EngineerConsultantHybridMaastrichtPythonCloudDevOpsAIManagement Consulting

Key Responsibilities

•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