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Senior Data & AI Engineer

Job in 4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: Us3 Ltd
Full Time position
Listed on 2026-10-01
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CHF Yearly CHF 120000.00 180000.00 YEAR
Job Description & How to Apply Below

We are looking for a Senior Data & AI Engineer with strong expertise in data engineering, cloud data platforms, analytics, and AI/ML. The role involves designing scalable data solutions, developing ETL/ELT pipelines, supporting AI/ML initiatives, and contributing to GCP-to-Azure migration and Azure data platform implementation
.

Key Responsibilities
  • Design, develop, and optimize scalable data pipelines and integration solutions
    .
  • Build and maintain ETL/ELT processes, data models, and analytics workflows
    .
  • Develop data solutions using Azure Data Factory, Databricks, Synapse, and Azure Data Lake
    .
  • Support AI/ML and advanced analytics initiatives.
  • Contribute to GCP-to-Azure cloud migration projects and Azure data platform implementation.
  • Perform data transformation, integration, quality, and performance optimization.
  • Collaborate with business stakeholders, data teams, architects, and engineering teams.
  • Translate business requirements into scalable and reliable data solutions.
  • Support reporting and visualization requirements using Power BI and/or Tableau
    .
Required Skills & Experience
  • 8+ years of experience in Data Engineering, Analytics, AI, or a related field.
  • Python
  • SQL
  • Data Modeling
  • ETL/ELT
  • Strong experience with:
  • Experience with Google Cloud Platform (GCP).
  • Proven experience in GCP-to-Azure migration or similar cloud migration initiatives.
  • Understanding of AI/ML solutions and their integration with data platforms.
  • Knowledge of Power BI and/or Tableau
    .
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Ability to work effectively in a cross-functional, on-site environment
    .
Good to Have
  • Experience with advanced analytics and AI/ML data pipelines.
  • Exposure to Azure modernization and migration programs.
  • Experience with both GCP and Azure data services.
  • Knowledge of data governance, data quality, and security practices.
Position Requirements
10+ Years work experience
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