Principal Data and AI Engineer

Flexera; Santander; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Principal Data and AI Engineer to drive technical innovation in large-scale data operations. The role entails defining strategic direction, optimizing data architectures, and leading a talented team to transform vast amounts of semi-structured data into actionable insights. The ideal candidate will possess proven experience in data operations, strong leadership abilities, and a data-driven mindset, ensuring quality and operational excellence.

Formación

• Proven experience in large-scale data/content operations.
• Expertise in Microsoft SQL Server and Database design.
• Familiarity with Data Lakehouse architectures.

Responsabilidades

• Define and evolve long-term strategy for data operations.
• Design and optimize large-scale data architectures.
• Collaborate with engineers on architecture and integrations.

Conocimientos

Data architecture

System design

Performance tuning

Database optimization

Agile methodology

Communication

Domain modeling

Herramientas

Microsoft SQL Server

Databricks

Descripción del empleo

Reimagine enterprise data and content operations at massive scale! As the

Principal Data and AI Engineer

at Flexera, you will drive technical innovation and lead a talented team focused on the ingestion, curation, and organization of the world's IT assets. Your mission : transform vast amounts of semi-structured data into trusted insights, empowering customers to manage and optimize their IT landscapes—including hardware, software, SaaS, cloud, containers, AI services, and more.

Key Responsibilities :

Strategic Ownership Define and evolve the long-term strategy for data and content operations at scale. Balance current realities with an ambitious roadmap toward future innovation. Lead automation efforts in data normalization, enrichment, and quality assurance using AI / ML and Agentic AI. Align technical direction with business priorities to shape the roadmap.

Technical Leadership Design, optimize, and govern modern, large-scale data architectures. Oversee architecture across applications, infrastructure, and ecosystem integrations. Apply advanced performance tuning, database optimization, and domain-driven design principles.

Engineering Partnership Collaborate with and mentor engineers on system architecture, CI / CD workflows, and API integrations. Provide technical oversight in data modeling, system scaling, availability, and reliability. Act as a hands-on contributor to unblock teams and drive execution on complex projects.

Operational Excellence Champion foundational data metrics : quality, accuracy, completeness, and timeliness. Ensure security and cost-effectiveness of operations through thoughtful oversight.

Required Experience Proven experience in large-scale data / content operations and platform engineering. Expertise in Microsoft SQL Server, including : Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including Agentic AI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus.

Personal Attributes Clear communicator :

Crisp, honest, and transparent communication style. Data-driven mindset :

Always seeks to validate hypotheses with data. Detail-oriented and strategic :

Able to zoom into details while maintaining a broader perspective. Hands-on leader :

Actively seeks challenges and empowers the team. Storyteller and mentor :

Inspires teams through vision and guidance. Emotionally intelligent :

Maintains composure under pressure. Change advocate :

Balances incremental improvements with transformative innovation.