Data Engineer

Kharon; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A cutting-edge risk management organization is seeking a full-time Data Engineer based in London or Madrid. This role focuses on designing and developing robust data pipelines and services to handle complex data related to global security threats. Ideal candidates have a strong background in data engineering and expertise in Python and SQL, with hands-on experience in big data frameworks. The position offers fully sponsored private insurance, a pension plan, and paid holidays.

Benefits

Fully sponsored private insurance

Pension plan with 3% employer contribution

Paid holiday leave

Qualifications

• 2+ years of professional experience in software or data engineering.
• Ability to work standard European time-zone hours and legal authorisation to work.
• Hands-on experience with big data processing frameworks.

Responsibilities

• Design, develop, deploy, and monitor data services and pipelines.
• Orchestrate workflows for large volumes of multilingual data.
• Evaluate and integrate AI-based solutions to improve data analysis.

Skills

Python data ecosystem (Pandas, NumPy)

SQL

Apache Spark

Docker

Kubernetes

RESTful APIs

Education

Bachelor's degree in Computer Science, Statistics, Engineering, or related field

Tools

AWS

Snowflake

Elasticsearch

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.

About Kharon:

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

What we offer:

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