HR Data Engineer – Hybrid (Power BI & Databricks)

AXA; Paris; Hybrid; EUR 35,000 - 55,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

AXA Group Headquarters is seeking an HR Data Engineer to collaborate with Group HR stakeholders on data pipelines and reporting. You will focus on HR data quality, governance and producing actionable insights using Power BI, SQL and Python.

The role offers hybrid work within a global insurance group with generous benefits and growth opportunities. The position targets candidates pursuing a Master’s in Data Management or related field, with strong English communication and cross-functional

Qualifications

• Pursuing master's degree in Data Management or related field.
• Strong interest in data quality, governance and HRIS.
• Excellent knowledge of Power BI and SQL; Python and ETL knowledge a plus.
• Interest in cloud platforms (Databricks, Azure, Oracle HCM) for insights.
• Analytical, detail-oriented, and able to collaborate with stakeholders in English.

Responsibilities

• Maintain HR data pipelines in Databricks within Microsoft Azure.
• Produce data-driven insights and reports for Group HR top management.
• Develop Power BI dashboards and automate reporting using SQL and Python.
• Support data quality campaigns, checks, and remediation tracking.
• Monitor data quality dashboards, investigate anomalies, escalate issues.
• Support data collection and governance with documentation of sources and ownership.

Skills

Power BI

SQL

Python

Data visualization

Education

Master’s degree in Data Management

Tools

Databricks

Microsoft Azure

JIRA

Oracle HCM

Job description

AXA Group Headquarters is seeking an HR Data Engineer to collaborate with Group HR stakeholders on data pipelines and reporting. You will focus on HR data quality, governance and producing actionable insights using Power BI, SQL and Python.

The role offers hybrid work within a global insurance group with generous benefits and growth opportunities. The position targets candidates pursuing a Master’s in Data Management or related field, with strong English communication and cross-functional