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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Kharon - **Location:** London, UK - **Experience:** Expert - **Salary:** £95,000.0 - £115,000.0 - **Contract:** Internship / Graduate position - **Skills:** Query Performance, Microsoft Access, Airflow, Amazon Web Services, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Elasticsearch, Graph Database, Python (Programming Language), Neo4j, Standard Sql, Automated Data Processing (ADP), Flask (Web Framework), Snowflake, Spring-boot, Fastapi, Pandas, Data Lakes, Pyspark, Information Technology, AWS Glue, Apache Kafka, Build Tools, Api Design, Data Pipelines, GXP, Docker, Databricks - **Published:** August 25, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=5e8b5cbe221d0d50 ## About the Role * 5+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn. * BS/MS in Computer Science or equivalent experience in related fields. * Experience in Python, Pandas, PySpark, and Notebooks. * SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc. * Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence. * Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. * Container-based deployment experience using Docker and Kubernetes. * Strong verbal and written communication skills. NICE TO HAVE: * Experience working with or data modeling for graph databases like Neo4J, Neptune, etc. * API experience using FastAPI, Flask, Spring Boot or equivalent. * Understanding of elasticsearch data and query modeling is a big plus. * Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk. ## Description * Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks. * Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake. * Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake. * Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems. * Interact and develop with internal and external APIs. * Work with product and business teams to define novel and critical metrics for the business. * Follow good engineering practices like documentation, diagrams, and unit/validation tests * Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build., Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. We are committed to making reasonable adjustments to support disabled applicants and employees. If you require any adjustment to participate in the recruitment process, please contact apply@kharon.com You must have the right to work in the UK. Kharon is unable to offer visa sponsorship for this role. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)