Sustainability Digital Technology Senior Specialist
Pubblicato il 20-08-2026 - Baker Hughes in Firenze
Are you an experienced Sustainability Digital Technology Senior Specialist - Data & AI looking for a new Role? Your focus will be on leading the development of external and internal Data Products around Sustainability processes, ESG KPIs and company strategic goals in accordance with reporting frameworks, regulator guidance and internal subject matter experts. As part of our team, you will help create data models, analyses, automation and applications which support Baker Hughes' strategic goals and the world's Energy Transition needs.
As a Senior Specialist you will develop & own Data & AI Products created with cross-disciplinary teams typically involving large & complex data sets. These teams include Data Engineers, Subject Matter Experts, Architects, Product Managers, Data Scientists, Engineers, Supply Chain managers and Controllers across business units who you will interact with on a daily basis to specify, design, develop, test and deploy data solutions with. Example application areas include regulatory reporting, lifecycle assessment, emissions/water/waste management,
human capital reporting, control and risk management for climate & transition, biodiversity, health & safety reporting.
Implementing and maintaining data products with automated pipelines for data processing, ingestion and consumption, ensuring governance and data quality capabilities aligned with regulatory mandates (e.g.: GDPR, SOX) and frameworks (e.g.: ISSB, GRI, ESRS, ISO).
Integrating critical business process with data products to support internal and external facing requirements across our operations in 100+ countries.
Implementing and maintaining data consumption solutions (e.g.: APIs, PowerBI Reports, Tableau Reports, Databricks AI/BI dashboards, custom applications, etc.)
Leading other Data Engineers and contractors in the use of best-in-class development frameworks and tools, including AI-driven automation.
Evaluating source data across multiple upstream systems, understanding the pur