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- Tasks: Lead data and AI engineering to optimise IT asset management and drive innovation.
- Company: Join Flexera, a leader in technology value optimisation with over 50,000 global customers.
- Benefits: Enjoy remote work options, a collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a transformative team shaping the future of enterprise data operations.
- Qualifications: Experience in large-scale data operations, SQL Server, and Agile environments is essential.
- Other info: Flexera values diversity and inclusion, welcoming applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint in hybrid environments-from on-premises to SaaS to containers to cloud.
We\’re transforming the software industry. We\’re Flexera. With more than 50,000 customers across the world, we\’re achieving that goal. But we know we can\’t do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans? Come and see why we\’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com
Reimagine enterprise data- and content operations at massive scale! As the Principal Data and AI Engineer at Flexera, you will bring technical innovation and sophistication to a talented team responsible for ingestion, curation, and organization of the world\’s IT assets. Your mission is to turn vast amounts of semi-structured data into trusted insights that empower customers to manage and optimize their IT landscape, which include hardware, software, SaaS, cloud, containers, AI services and more.
Key Responsibilities
Strategic Ownership
- Define and evolve the long-term strategy for content and data operations at scale. Balance the realities of now with an ambitious roadmap to the future
- Drive automation of data normalization, enrichment, and quality assurance. Push boundaries of AI/ML augmentation and Agentic AI
- Guide roadmap development by aligning technical direction with business priorities
Technical Leadership
- Design, optimize, and govern modern large-scale data architectures
- Drive system architecture across application, infrastructure, and ecosystem layers
- 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 etc.
- Provide technical oversight in areas like data modeling, system scaling, availability and reliability
- For architecturally complex projects, step in as a hands-on team multiplier to unblock the team and drive execution
Operational Excellence
- Champion data quality, accuracy, completeness, and timeliness as foundational metrics
- Provide oversight in areas like security and operational cost
We believe that the following experience is relevant
- Experience in large-scale data/content operations and platform engineering
- Experience with Microsoft SQL Server. Database design, optimization, and performance tuning. Transact-SQL (T-SQL), C#, REST APIs etc.
- Familiarity with Data Lakehouse architectures, specifically Databricks
- Deep understanding of data architecture, domain modeling, and system design in a distributed environment
- Solid experience working in Agile environments with cross-functional stakeholders.
- Experience with workflow optimizations through process, tooling and automation, including AI augmentation and Agentic AI
- Experience in IT Asset Management, FinOps, or vulnerability intelligence domains is a plus
We believe that the following personal traits will enable success in this role
- Crisp, clear, and honest communication
- Data driven, always seeking to validate hypothesis with data
- Attention to detail, while also being able to take a step back and look at the bigger picture
- Hands-on approach (seek out the problems), while also empowering the team
- A talent for storytelling and inspiring a team, and for mentoring technology talent
- High emotional intelligence, able to stay calm and composed under pressure
- Ability to drive and celebrate iterative improvements while always on the lookout for transformative change
#LI-REMOTE
#LI-JP2
Flexera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.
Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.
We encourage candidates requiring accommodations to please let us know by emailing careers@flexera.com. #J-18808-Ljbffr
Principal Data & AI Engineer employer: Flexera
Contact Detail:
Flexera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data & AI Engineer
✨Tip Number 1
Familiarise yourself with Flexera's products and services, especially their data-oriented SaaS solutions. Understanding how they optimise technology value will help you articulate your fit for the role during discussions.
✨Tip Number 2
Showcase your experience with large-scale data operations and platform engineering in your conversations. Be ready to discuss specific projects where you've successfully implemented data architectures or optimised performance.
✨Tip Number 3
Highlight your familiarity with Agile methodologies and cross-functional collaboration. Flexera values teamwork, so be prepared to share examples of how you've worked effectively with diverse teams to achieve common goals.
✨Tip Number 4
Demonstrate your problem-solving skills and hands-on approach by discussing challenges you've faced in previous roles. Emphasise how you empowered your team to overcome obstacles and drive improvements in data quality and operational excellence.
We think you need these skills to ace Principal Data & AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, take the time to thoroughly understand the responsibilities and requirements of the Principal Data & AI Engineer position at Flexera. Tailor your application to highlight relevant experiences that align with their needs.
Craft a Tailored CV: Ensure your CV is specifically tailored for this role. Emphasise your experience in large-scale data operations, platform engineering, and any familiarity with technologies mentioned in the job description, such as Microsoft SQL Server and Databricks.
Write a Compelling Cover Letter: Your cover letter should not only express your enthusiasm for the role but also demonstrate your understanding of Flexera's mission. Highlight how your skills in data architecture and AI/ML can contribute to their goals of optimising IT landscapes.
Showcase Relevant Projects: If you have worked on projects that involved data normalisation, automation, or AI augmentation, make sure to include these in your application. Use specific examples to illustrate your hands-on approach and problem-solving abilities.
How to prepare for a job interview at Flexera
✨Understand the Company and Its Solutions
Before your interview, make sure to research Flexera thoroughly. Understand their products, especially the Flexera One solutions, and how they help customers optimise technology spend. This knowledge will allow you to speak confidently about how your skills align with their mission.
✨Showcase Your Technical Expertise
As a Principal Data & AI Engineer, you'll need to demonstrate your experience with large-scale data operations and platform engineering. Be prepared to discuss specific projects where you've applied database design, optimisation, and performance tuning, particularly with Microsoft SQL Server and T-SQL.
✨Highlight Your Leadership Skills
Flexera values technical leadership and collaboration. Share examples of how you've mentored engineers or led teams in previous roles. Discuss your approach to guiding roadmap development and aligning technical direction with business priorities.
✨Emphasise Your Problem-Solving Approach
The role requires a hands-on approach to problem-solving. Be ready to discuss how you've tackled complex challenges in past projects, particularly in areas like data quality and operational excellence. Highlight your ability to stay calm under pressure and drive iterative improvements.
