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Principal Data and AI Engineer

JR United Kingdom

Kingston upon Hull

On-site

GBP 60,000 - 85,000

Full time

Yesterday
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Job summary

A leading company in data and AI technology is seeking a Principal Data and AI Engineer in Kingston upon Hull. This role involves driving innovation in data operations, overseeing complex architecture, and leading a skilled team focused on managing various IT assets. The candidate should have extensive experience in data engineering, a track record of operational excellence, and strong leadership attributes. Join this dynamic team to transform enterprise data into impactful insights.

Qualifications

  • Proven experience in large-scale data/content operations and platform engineering.
  • Expertise in Microsoft SQL Server and Data Lakehouse architectures.
  • Experience working in Agile environments.

Responsibilities

  • Lead data operations and strategy for IT assets.
  • Oversee large-scale data architecture and integrations.
  • Enhance operational excellence through data metrics.

Skills

Database design
Performance tuning
Transact-SQL (T-SQL)
C#
REST API integration
Agile methodology
Workflow optimization
Data-driven decision-making

Job description

Social network you want to login/join with:

Principal Data and AI Engineer, kingston upon hull, east yorkshire

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Client:
Location:

kingston upon hull, east yorkshire, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

4

Posted:

07.06.2025

Expiry Date:

22.07.2025

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Job Description:

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.
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