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Job Description

Director - Data, AI, Architecture & Engineering

Location - - London – Hybrid – UK pls

Salary - £90k - £100k

You’ll work nationally with ambitious, high-growth organisations to help them navigate complexity and unlock value through data, AI and technology.

Our clients don’t just need systems built — they need trusted advisors who can combine strategic thinking with deep technical expertise, and who are willing to roll up their sleeves when it matters.

If you want a role where you can advise at board level, shape direction, and stay close to the technology by designing and building modern data platforms, this opportunity offers exactly that balance.

Balance bold ambition with practical delivery — pairing long-term vision with near-term results. Our goal is to be a fully integrated, end-to-end technology advisor and integrator, enabling business change through data, AI and engineering excellence.

What You’ll Be Doing

You’ll operate as a senior advisor while remaining hands-on where it adds the most value, helping clients define what good looks like, make confident technology choices, and then personally shape and guide the design and build of robust, scalable data platforms. Acting as a trusted advisor to senior stakeholders on data, analytics and AI strategy, providing technical leadership and design authority across multiple client programmes. Designing and, where appropriate, building robust, scalable data platforms to support a wide range of data processing and analytics requirements Leading complex data and engineering engagements using Microsoft Azure, Fabric and Databricks Writing and reviewing high-quality Python and SQL for data transformation, automation and analytics. Translating complex technical concepts into clear, actionable insights for non-technical audiences. Building and sustaining a pipeline of advisory-led data, analytics and AI engagements Coaching, mentoring and developing high-performing data and engineering teams

What You’ll Bring

A combination of strategic advisory capability and hands-on technical depth. Significant experience in data architecture and data engineering, including hands-on platform design and build Strong expertise in Microsoft Azure cloud services for data storage, processing and analytics Proven experience with modern data platforms such as Fabric and Databricks, and strong programming skills in Python and SQL A strong UK network and experience building a pipeline of data, analytics and AI work Confidence engaging with senior stakeholders while remaining comfortable working close to the technology Proven leadership experience, intellectual curiosity, adaptability and strong problem-solving skills

For More information, apply here, or email r.kelly@ltharper.com

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.