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Senior Managing Data Engineer

Free-Work UK
London
1 week ago
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This range is provided by Free-Work UK. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Senior Managing Data Engineer (Palantir Foundry) - London - Salary Up To £110,000 per annum

Are you a visionary engineering leader with a passion for delivering high-impact AI solutions? A Palantir expert ready to shape technical strategy and guide large-scale delivery? Then Morela has the opportunity for you.

Morela are proud to be working with one of the UK's most respected Palantir partners, now seeking a Senior Managing Data Engineer to lead major programmes, mentor engineering leaders, and shape the future of data-driven transformation across sectors. This is a rare opportunity to take on a top-tier leadership role in a fast-growing consultancy at the cutting edge of AI and data engineering.

You'll be joining a company that delivers transformative solutions across public and private sectors—specialising in digital enablement, full-lifecycle engineering, and strategic advisory. As a Senior Managing Data Engineer, you'll work directly with senior stakeholders (both client-side and internal), set technical and operational direction, and play a key role in defining how Palantir Foundry and broader AI ecosystems deliver real-world impact.

Core Responsibilities

Programme Leadership: Oversee multiple high

profile client engagements, ensuring successful delivery of complex, multi

stream Palantir Foundry projects.

Strategic Client Partnership: Build and maintain C

suite relationships, providing trusted guidance on long

term data and technology strategy.

Technical Oversight: Set and enforce best practices across architecture, engineering, security, and performance—ensuring robust and future

proof solutions.

Leadership & Mentorship: Coach Managing Engineers and senior delivery leads; build leadership capability within the organisation.

Business Impact: Contribute to business development efforts, helping shape proposals, win new work, and expand client accounts.

Innovation & Vision: Help define the consultancys technical roadmap, aligning emerging technology with client needs and long

term growth.

Governance & Risk Management: Ensure compliance, risk mitigation, and technical quality across all programmes under your remit.

Thought Leadership: Represent the organisation externally—whether through industry events, publications, or strategic client discussions.

What We're Looking For

Deep Experience: 10+ years in engineering, data platforms, or enterprise technology—at least 3

5 of which in leadership roles managing large

scale, client

facing programmes.

Palantir Expertise: Strong working knowledge of Palantir Foundry and its ecosystem, ideally having led one or more Foundry implementations at scale.

Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP).

Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives.

Exceptional Communicator: Able to engage at all levels—from senior engineers to board

level stakeholders—with clarity and confidence.

Commercial Acumen: A strategic thinker who understands how to align technical delivery with client business outcomes.

Adaptable & Resilient: Comfortable operating in fast

paced, high

stakes environments with multiple moving parts.

Travel Flexibility: Willing to travel occasionally (up to 25%) depending on client and project needs.

As a Senior Managing Data Engineer, you won't just deliver projects you'll shape them from inception to execution, influencing how some of the UK's most critical institutions harness AI and data to make better decisions and achieve lasting transformation.

Please do not hesitate to reply and reach out to Morela today to find out more!

Seniority level

  • Seniority levelNot Applicable

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesHuman Resources Services

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