Senior Agile Test Engineer

Experis Switzerland
Lenzburg, Switzerland
4 days ago

Role details

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

Job location

Lenzburg, Switzerland

Tech stack

API
Agile Methodologies
Artificial Intelligence
Application Services
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
Data Integration
ETL
Automation of Marketing
Standard Sql
Systems Integration
Cloud Platform System
System Availability
Data Lake
AI Platforms
Data Management
Data Pipelines

Job description

Our client covers the ICT-needs of Swiss hospitals, care homes and practices, allowing them to fully concentrate on their work. To strengthen our client's team in the Application Services area, we are looking for a Data & AI Platform Engineer to start immediately or by arrangement. Shape the healthcare data platforms of tomorrow together with our client. The company is evolving into a Healthcare Digital Orchestrator and is building modern data-, integration- and AI-platforms for healthcare organisations in Switzerland. We are seeking a personality who not only knows about modern data platforms, data architectures and data-governance topics but also wants to actively help shape them.

Your tasks

  • Building and further developing modern data platforms and data pipelines
  • Developing data lake, lakehouse and analytics architectures
  • Integrating, structuring and governing data from various sources
  • Contributing to AI, reporting and automation platforms
  • Ensuring data quality, data modelling and data availability
  • Collaborating with AI, platform, architecture and application teams
  • Evaluating and introducing modern data and integration solutions

Requirements

  • Experience in data engineering, data platforms or AI-related technologies
  • Very good knowledge of SQL and modern data architectures
  • Experience with APIs, ETL/ELT pipelines and cloud architectures
  • Understanding of data governance, data quality and modern platform concepts
  • Structured, analytical and solution-oriented working style

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