Remote Intermediate Backend Engineer

Salary: £70,000 - 94,000 per year

Requirements

• 3-5 years of experience in data engineering, ideally working with large-scale or geospatial systems.
• Proficiency in Python and SQL, with Spark SQL preferred.
• Experience with distributed data processing frameworks such as Spark, Flink, or Beam.
• Familiarity with orchestration frameworks such as Airflow, Temporal, or Dagster, and workflow automation principles.
• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools such as Docker and Kubernetes.
• Exposure to batch and streaming architectures and modern data lake or lakehouse patterns such as Iceberg, Delta, or Hudi.
• Knowledge of geospatial data formats, processing libraries, and coordinate systems is a plus.
• Strong problem-solving skills and an interest in building reliable, scalable, and observable data systems.

Responsibilities

• Design and build cloud-based data pipelines for ingesting, transforming, and storing large volumes of data.
• Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow, or Dagster.
• Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities.
• Contribute to geospatial data processing workflows using tools such as Apache Sedona and native Iceberg geospatial functionality.
• Assist in developing and maintaining shared platform tooling and libraries that improve productivity and promote self-service capabilities across engineering and analytics teams.
• Monitor, tune, and troubleshoot the performance, cost, and reliability of data infrastructure components.
• Collaborate closely with cross-functional teams to ensure platform systems integrate smoothly with analytics, visualization, and downstream applications.

Technologies

• Airflow
• AWS
• Azure
• Cloud
• Docker
• Flink
• GCP
• Kubernetes
• Python
• SQL
• Spark
• Backend
• DevOps
• Support

More

We are Atreides, a fast-moving, high-performance international company helping organizations transform large, complex multi-modal datasets into information-rich geospatial data subscriptions and real-time operational clarity. We work with petabyte-scale data across land, air, sea, space, and cyber to help our customers derive insights quickly. Our team is made up of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We value autonomy, curiosity, transparent communication, diverse ideas, empathy, and a measure twice, cut once mindset. This role is part of our Platform Engineering team and offers a flexible remote work environment, competitive salary, comprehensive health, dental, and vision insurance, flexible hours, work travel opportunities, competitive vacation time, and parental leave.

last updated 27 week of 2026