Azure Data Engineer: Pipelines, BI & Analytics

AXA Group

Shannon

On-site

EUR 65,000 - 90,000

Full time

7 days ago
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Job summary

AXA Partners in Ireland is seeking a Data Engineer to design and implement production analytics systems using Azure Data Factory, Delta Lake, and Databricks. You will develop scalable data pipelines, models, and dashboards with Power BI, while ensuring data quality and security.

A strong background in SQL, Python, and ETL is essential. Two years in a production Big Data environment is required, with a Bachelor’s degree in a related field; a Master’s degree is a plus.

Qualifications

  • Two years of experience in a production Big Data environment.
  • Strong experience with Azure data services and ETL.
  • Proficiency in SQL, Python, and Power BI for analytics.

Responsibilities

  • Design and develop scalable data pipelines using Azure services to ensure seamless data flow and transformation.
  • Optimize data storage to maintain high data quality and accessibility.
  • Develop data models and datasets to support analytics and BI tools like Power BI.
  • Automate workflows using scripting to streamline data processes.
  • Maintain and enhance analytical components to support AXA Partners' data strategy.
  • Collaborate with cross-functional teams to deliver high-quality data services and ensure data security.

Skills

Azure data services
SQL
Python
ETL processes
Data modelling
Power BI
Data pipelines
Big Data
Data governance
Communication

Education

Bachelor’s degree in Computer Science/IT/Data Science or related field
Master’s degree is a plus

Tools

Azure Data Factory
Delta Lake
Databricks
Power BI

Job description

AXA Partners in Ireland is seeking a Data Engineer to design and implement production analytics systems using Azure Data Factory, Delta Lake, and Databricks. You will develop scalable data pipelines, models, and dashboards with Power BI, while ensuring data quality and security.

A strong background in SQL, Python, and ETL is essential. Two years in a production Big Data environment is required, with a Bachelor’s degree in a related field; a Master’s degree is a plus.

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