Data Engineer

Integer, LLC; London; On-site; GBP 50,000 - 75,000; Full time

Job summary

Integer, LLC is looking for an innovative Data Engineer based in London to develop and maintain robust data services and pipelines. The role includes designing data workflows, collaborating with cross-functional teams, and utilizing cutting-edge big data technologies for analysis and extraction. The ideal candidate will have a strong background in Python and SQL, as well as hands-on experience with big data processing frameworks. This is a unique opportunity to contribute to a mission-driven company at the forefront of navigating global security risks.

Benefits

Fully sponsored private insurance

Pension plan with 3% employer contribution

Paid holiday leave

Qualifications

• 2+ years of professional experience in data engineering or software engineering.
• Strong experience with Python’s data ecosystem (e.g., Pandas, NumPy).
• Conversant in modern big data processing frameworks and data architecture.

Responsibilities

• Design, develop, deploy, and maintain data pipelines.
• Orchestrate workflows for large volumes of data.
• Partner with product managers and data scientists.

Skills

Python

SQL

Data Engineering

Big Data Technologies

Data Pipelines

API Development

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Statistics

Bachelor’s degree in Engineering

Tools

Apache Spark

Databricks

Snowflake

AWS

Docker

Kubernetes

Job description

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

RESPONSIBILITIES:

• Own it end-to-end. Design, develop, deploy, monitor, and fix the data services and pipelines you build.
• Robust data pipelines. Orchestrate workflows that ingest, transform, and serve large volumes of multilingual, multi-format open-source data.
• Model data for humans & machines. Draft schemas across SQL, NoSQL, graph, and search systems so analysts and algorithms can both fly.
• Innovate. Evaluate and integrate LLM and other AI‑based solutions to improve data extraction and analysis across Kharon’s products.
• Partner with the doers. Sit with product managers, data scientists, investigators, and sanctions experts – translate fuzzy problems into clean, testable code.

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Statistics, Engineering, or a related field.
• 2+ years of professional experience in software or data engineering.
• Ability to work standard European time-zone hours and legal authorisation to work in your country of residence.
• Strong experience with Python’s data ecosystem (e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines.
• Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization
• Familiarity with graph databases (e.g., Neo4j, Memgraph) or search platforms (e.g., Elasticsearch, OpenSearch) to support complex data relationships and querying needs
• Solid understanding of cloud infrastructure, particularly AWS, with practical experience using Docker, Kubernetes, and implementing CI/CD pipelines for data workflows
• Proficient in designing, developing, and maintaining RESTful APIs for data services using Python frameworks such as FastAPI, Flask, or Django.

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 an Engineering Manager to join us as we work to shape the way businesses perceive and navigate global risks.

Reporting to the Data Engineering Manager, the Data Engineer will support and enhance the reliability of our research and analysis platform, which leverages open-source intelligence, data mining, network analysis, and machine learning to generate unparalleled insights on networks engaged in illicit financial activity. Key focus areas include system architecture, code quality, automation, and observability.

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

Please navigate to our website and apply. If you are an individual with disabilities who needs accommodation or you are having difficulty using our website to apply, please contact [e-mail]