Azure Data Engineer: Pipelines & BI Analytics

AXA Group; Ireland; Remote; EUR 70,000 - 100,000; Full time

Job summary

AXA Partners is seeking a Data Engineer to drive our data transformation within the CLP Data team. You will build scalable data pipelines on Azure, model data for analytics, and support Power BI reporting to deliver actionable insights.

The role emphasizes data quality, security, and cross-team collaboration in a dynamic environment. You will work on production Big Data projects, leveraging Data Factory, Delta Lake, Databricks, and Python/SQL to automate workflows and improve data-driven

Qualifications

• Minimum 2 years in a production Big Data environment.
• Bachelor's degree in Computer Science, Information Technology, Data Science, or related field (Master's a plus).
• Proficiency in SQL and Python for data processing and automation.
• Strong knowledge of Azure data services and ETL concepts.

Responsibilities

• Design and Develop Data Pipelines using Azure Data Factory, Logic Apps, and Delta Lake.
• Optimize data storage solutions for quality and accessibility.
• Develop data models and datasets to support analytics and Power BI reporting.
• Automate workflows with scripting and automation tools.
• Maintain and enhance core analytical components and data security controls.
• Collaborate with cross-functional teams to ensure seamless data integration.
• Ensure data security, privacy, and compliance with relevant standards.

Skills

Azure services

SQL

Python

Power BI

Data modelling

Data pipelines

Communication

Problem solving

Education

Bachelor's degree in Computer Science/Information Technology/Data Science or related field

Master's degree is a plus

Tools

Data Factory

Delta Lake

Logic Apps

Databricks

Job description

AXA Partners is seeking a Data Engineer to drive our data transformation within the CLP Data team. You will build scalable data pipelines on Azure, model data for analytics, and support Power BI reporting to deliver actionable insights.

The role emphasizes data quality, security, and cross-team collaboration in a dynamic environment. You will work on production Big Data projects, leveraging Data Factory, Delta Lake, Databricks, and Python/SQL to automate workflows and improve data-driven