Data & Platform Engineer

OPTIMUS IT SERVICES
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, French
Experience level
Intermediate

Job location

Tech stack

Unit Testing
Azure
Software as a Service
Continuous Integration
Information Engineering
Data Warehousing
Identity and Access Management
Python
Standard Sql
T-SQL
Cloud Platform System
Azure
System Availability
Spark
Infrastructure as Code (IaC)
GIT
Microsoft Fabric
PySpark
Data Pipelines

Job description

Data Engineering Responsibilities (80%)

  • Develop data ingestion pipelines using Microsoft Fabric Data Factory and Azure Data Factory
  • Build and maintain data transformation workflows using Fabric Factory Notebook
  • Optimize transformation queries while considering Azure cost efficiency
  • Contribute to Lake House data modeling and architecture
  • Design and implement medallion architecture layers (Silver & Gold) in Microsoft Fabric
  • Define and execute automatable unit testing strategies
  • Participate in effort estimation for development activities
  • Produce and maintain technical documentation
  • Contribute to continuous improvement initiatives and development standards
  • Support production maintenance and incident resolution activities

Platform Engineering Responsibilities (20%)

  • Administer, configure, and enhance the Microsoft Fabric platform environment
  • Manage workspaces, capacities, tenant settings, Azure integrations, and related services
  • Monitor Microsoft Fabric roadmap developments and evaluate new platform capabilities
  • Optimize platform performance, sizing, prioritization, and infrastructure costs
  • Maintain and improve Infrastructure as Code (IaC) components
  • Design, test, document, and deploy platform evolutions aligned with business needs
  • Collaborate with Infrastructure, Security, IAM, and FinOps teams
  • Support platform reliability, incident analysis, and operational improvements

Requirements

  • French language proficiency - C2 level (CEFR)
  • Minimum 2 years of experience in a SaaS infrastructure role
  • Minimum 4 years of experience as a Data Developer or Data Engineer
  • Minimum 3 years of hands-on experience with Spark framework (PySpark)
  • Strong experience with Python development
  • Strong SQL and/or T-SQL expertise
  • Minimum 3 years of experience within the Azure cloud ecosystem
  • Experience with Microsoft Fabric ecosystem
  • Experience using Git and CI/CD practices
  • Strong understanding of dimensional data modeling
  • Solid knowledge of Lake House architecture principles
  • Understanding of Data Cloud Platform security principles

Apply for this position