Principal Data and AI Engineer

Flexera; Sevilla; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Flexera is looking for a Principal Data and AI Engineer to lead innovations in enterprise data management. This role involves driving technical excellence, ensuring operational effectiveness, and managing data strategies at scale. Candidates should have extensive experience in data architecture and team leadership, with proficiency in SQL Server and data operations.

Formación

• Proven experience in large-scale data/content operations and platform engineering.
• Expertise in Microsoft SQL Server and performance tuning.
• Familiarity with Data Lakehouse architectures, especially Databricks.

Responsabilidades

• Define and evolve data strategy for enterprise operations.
• Design and optimize modern, large-scale data architectures.
• Lead automation efforts in data normalization and quality assurance.

Conocimientos

Microsoft SQL Server

Transact-SQL (T-SQL)

C#

REST API integration

Data architecture

System design

Agile environments

Workflow optimization

AI augmentation

IT Asset Management

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.

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.