At a Glance
- Tasks: Lead and mentor a high-performing data engineering team while driving innovative data solutions.
- Company: Join Kharon, a cutting-edge company revolutionising global security through data.
- Benefits: Enjoy private insurance, pension contributions, and paid holiday leave.
- Why this job: Make a real impact in a fast-paced environment tackling global risks with powerful data tools.
- Qualifications: 8-10 years in data engineering or related fields, with strong Python coding skills.
- Other info: Collaborate with visionary teams and grow in a dynamic, purpose-driven culture.
The predicted salary is between 48000 - 72000 ÂŁ per year.
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 and international commerce. Operating at the nexus of global security, Kharon is on a mission to revolutionise 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 operationalise 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 optimise 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.
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-calibre engineering teams to deliver meaningful outcomes on ambitious timelines.
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!
Data Engineering Manager in London employer: Kharon
Contact Detail:
Kharon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research Kharon’s mission and values, and think about how your experience aligns with their goals. Practise common interview questions and be ready to showcase your technical skills and leadership style.
✨Tip Number 3
Show off your projects! If you've worked on relevant data engineering projects, make sure to highlight them during interviews. Bring examples of your work that demonstrate your coding skills and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Data Engineering Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Manager role. Highlight your experience in leading teams, data architecture, and any relevant technologies like Airflow or Databricks. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to Kharon’s goals. Be sure to mention specific projects or achievements that demonstrate your leadership and technical prowess.
Showcase Your Technical Skills: Don’t hold back on showcasing your coding skills, especially in Python! Include examples of data pipelines you've designed or managed. We love seeing hands-on experience that aligns with our tech stack and best practices.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, keep an eye on your inbox for updates from us—we do our best to respond to every application!
How to prepare for a job interview at Kharon
✨Know Your Tech Stack
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like Python, Airflow, and AWS. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Leadership Experience
Prepare examples that highlight your experience in leading teams and mentoring others. Think about specific situations where you fostered a culture of ownership and continuous learning, as this is crucial for the role.
✨Understand Data Governance
Familiarise yourself with data governance practices, especially around retention and monitoring. Be ready to discuss how you’ve implemented these in previous roles and how they align with Kharon’s mission.
✨Collaborate and Communicate
Since collaboration is key, think of examples where you worked cross-functionally with product, design, or data science teams. Highlight how you communicated complex ideas effectively to ensure everyone was on the same page.