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

Nominate & Attend

Data Engineering Manager

Kharon
London
2 weeks ago
Create job alert

2 weeks ago Be among the first 25 applicants

TL;DR Kharon is seeking a full-time, London or Madrid-based Data Engineering Manager. Occasional in office attendance is required for this role.

RESPONSIBILITIES:

  • Lead, mentor, and scale a small high-performing, high-output data and software engineering team, fostering a culture of ownership, continuous learning, constructive feedback, and technical excellence
  • Be a strong, hands on contributor in day-to-day software development
  • Own the architecture and delivery of core data systems and infrastructure—ensuring they are scalable, maintainable, and aligned with Kharon’s platform goals
  • Establish and enforce best practices for data modeling, ETL/ELT development, pipeline orchestration, and observability
  • Drive adoption of modern data tooling (e.g., Airflow, Databricks, Spark, AWS-native services) and architectural patterns
  • Implement and oversee data governance practices including retention, monitoring and alerting, deduplication
  • Promote a culture of data quality and stewardship, ensuring high integrity and reliability across all systems
  • Design, review, and evolve processes for data ingestion, transformation, and delivery with a focus on automation and efficiency across batch and streaming systems
  • Innovate by evaluating and integrating emerging technologies, including LLMs, vector search, and real-time graph analytics.
  • Collaborate cross-functionally with product, design, and data science teams to rapidly prototype, iterate, and ship impactful, secure solutions that solve complex business problems

QUALIFICATIONS:

  • Must have a Bachelor’s degree, preferably in Computer Science, Engineering, or a related field
  • 8-10+ years as a data engineer, software engineer, or data scientist, of which includes 1-3 years working as an engineering manager
  • Strong coding skills in Python, with a solid foundation in modern software development practices
  • Deep experience designing and scaling data pipelines, data warehousing solutions, and ETL/ELT workflows using tools like Airflow, Databricks, and AWS
  • Proven ability to lead high-performing teams with a focus on mentorship, technical rigor, and a strong engineering culture
  • Strategic thinker with a track record of delivering measurable outcomes, driving technical roadmaps, and aligning data initiatives with business goals
  • Experience working across global markets and collaborating with cross-functional partners in fast-moving environments

Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce.

What does that mean? Great question.

Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled.

When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. Now, we’re experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Data Engineering Manager to join us as we work to shape the way businesses perceive and navigate global risks.

Reporting to the Engineering Director this role is central for us as we work to shape the way businesses perceive and navigate global risks. As a Data Engineering Leader at Kharon, you will oversee multiple engineering squads, driving architectural strategy, best practices, and a culture of excellence. You’ll collaborate with product, engineering, and data science teams to ensure our data systems are secure, reliable, and aligned with business goals. Key focus areas include data governance, quality, and automation—especially around ETL/ELT pipelines and observability. This role is well-suited for a technically proficient leader who excels at building resilient systems and enjoys collaborating closely with high-caliber engineering teams to deliver meaningful outcomes on ambitious timelines. You’ll contribute clarity and drive in a fast-moving, purpose-driven environment, working alongside teammates who share your commitment to excellence.

To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we’re growing at a rate that makes us unstoppable. If you’re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don’t take ourselves seriously but we’re serious about the work we do and there is absolutely no slowing us down.

To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We’re nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect:

  • Fully sponsored private insurance
  • Pension plan with 3% employer contribution
  • Paid holiday leave

Interested? Please apply by visiting our website and navigating to our careers page! We do our best to respond to each application we receive. Be on the lookout for an email from !

Powered by JazzHR

xzLErHk7jJSeniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesInternet Publishing

Referrals increase your chances of interviewing at Kharon by 2x

Sign in to set job alerts for “Engineering Manager” roles.

London, England, United Kingdom 2 days ago

VP of Software Engineering [Dubai Fintech]

Greater London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 days ago

Greater London, England, United Kingdom 2 days ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Engineering Manager - £95k-£125k + Benefits + Bonus - London Hybrid

Slough, England, United Kingdom 1 day ago

London, England, United Kingdom 4 weeks ago

Sidcup, England, United Kingdom 1 week ago

Erith, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Engineering Manager/Tech Lead (Hands on!) - Up to £175,000 comp - London/Hybrid

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

City Of London, England, United Kingdom £100,000.00-£120,000.00 1 week ago

London, England, United Kingdom 4 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

DATA Engineering Manager

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 Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.