Data Engineering Manager

Kharon
London
3 weeks ago
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Overview

TL;DR Kharon is seeking a full-time, London 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.

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 !

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Sales, General Business, and Education

Industries

  • Wireless Services, Telecommunications, and Communications Equipment Manufacturing

Referrals increase your chances of interviewing at Kharon by 2x

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