[Hiring] Senior Analytical Data Engineer @Capgemini

Role Description

You will join the Advanced Analytics team of a leading multinational energy company, working in close partnership with a Product Owner. The mission is to extract, interrogate and interpret structured procurement and transactional data across multiple source systems - surfacing patterns, anomalies and insights that drive business decisions.

What You Will Do

• Write and maintain Python and SQL scripts to extract and prepare transactional datasets from multiple source systems within an AWS environment.
• Collaborate with the Product Owner to define analytical scenarios, translating business questions into structured analytical approaches.
• Apply statistical methods to identify patterns, anomalies, trends and policy constraint violations across procurement datasets.
• Research market benchmarks and external reference points to validate internal findings and assess whether observed trends are expected or significant.
• Communicate conclusions clearly to non-technical stakeholders - translating statistical outputs into business-readable insights and recommendations.

Qualifications

• Procurement or financial transactional data experience - you instinctively understand what normal looks like, what anomalies look like and what questions are worth asking.
• Strong SQL and Python - hands-on, production-quality scripting for data extraction, transformation and analysis.
• Statistical analysis skills - pattern recognition, trend analysis and constraint validation applied to real business datasets.
• AWS familiarity - comfortable working with S3 and relational schemas in a cloud environment.
• Autonomous working style - you structure loosely defined scenarios into analytical approaches independently, without waiting for detailed specifications.
• Clear communication - you translate statistical findings into plain business language for non-technical stakeholders and product team.

Requirements

• Background in supply chain, procurement operations or financial controls.
• Experience benchmarking internal data against external market norms.
• Familiarity with enterprise procurement or ERP systems (SAP, Oracle, Ariba or similar) as data sources.
• English - Upper-intermediate.

Benefits

• Health insurance from the first days regardless of the probationary period.
• Christmas holidays from 25 December to 31 December.
• Cooperation with Superhumans center and Veteran HUB.
• Support for psychological counseling provided by the Veteran Hub.
• Internal policy making the company friendly to military and veterans with the assistance of the Hub.