National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Managing Data Engineer

London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Azure Data Engineer

Senior Azure Data Engineer

Senior Azure Data Engineer

Senior Azure Data Engineer

Senior Azure Data Engineer

Senior Azure Data Engineer

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 consultancy’s 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

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.