Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with a global footprint across 30 countries.
We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

-Develop and maintain ETL/ELT pipelines to integrate data from internal systems and external partners.-Support the design and refinement of data models for reporting, operational monitoring, and regulatory reporting.-Monitor data quality metrics and participate in root cause analysis and remediation coordination.-Document data flows, metadata, and data definitions to ensure transparency and governance.-Work with IT and business to validate data during system changes or feature development.-Build and maintain datasets, feature stores and views for BI tools (e.g. Power BI) and ML Tools.-Apply security, privacy, and compliance principles (e.g., GDPR) in data processing.

-3-5 years of experience in data engineering, analytics engineering, or data integration role.-Solid knowledge of SQL and Python for data transformation and analysis.-Basic understanding of data models (dimensional, relational) and data architecture principles.-Experience working with relational databases and cloud data tools (Azure).-Experience with tools such as Azure Data Factory and Databricks.-Good problem-solving skills and attention to data integrity.-Strong communication skills and a collaborative approach