At a Glance
- Tasks: Build and optimise data pipelines for high-throughput analytics systems.
- Company: Atreides, a fast-moving tech company transforming complex datasets into actionable insights.
- Benefits: Competitive salary, health insurance, flexible remote work, and generous vacation time.
- Other info: Dynamic environment with opportunities for professional growth and travel.
- Why this job: Join a mission-driven team and make a real impact with massive-scale data solutions.
- Qualifications: 3-5 years in data engineering, proficient in Python and SQL, experience with cloud platforms.
The predicted salary is between 72000 - 88000 £ per year.
Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo-spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high-fidelity data solutions to enable customers to derive insights quickly.
Atreides transforms the chaos of petabyte-scale, all-domain data—land, air, sea, space, and cyber—into real-time operational clarity. We are a fast-moving, high-performance international scale company. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive-scale data to make the world safer, stronger, and more prosperous.
Team Overview: We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations.
Position Overview: As an Intermediate Backend Engineer (UK) on the Platform Engineering team, you will be responsible for developing data infrastructure that powers Atreides’ core analytics systems. This includes building and optimizing high-throughput data pipelines, implementing geospatial data integration workflows, and deploying scalable services in cloud-native environments. This role demands a strong understanding of distributed data systems, a hands-on approach to engineering challenges, and a commitment to building robust and maintainable infrastructure.
- Design and build cloud-based data pipelines for ingesting, transforming, and storing large volumes of data.
- 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.
- Monitor, tune, and troubleshoot the performance, cost, and reliability of data infrastructure components.
- 3-5 years of experience in data engineering, ideally working with large-scale or geospatial systems.
- Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Exposure to batch and streaming architectures and understanding of modern data lake or lakehouse patterns.
- Strong problem-solving skills and an interest in building reliable, scalable, and observable data systems.
Compensation and Benefits:
- Competitive salary
- Comprehensive health, dental, and vision insurance plans
- Flexible remote work environment
- Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave
Remote Back-end Developer in London employer: Atreides Caseri Inc.
Atreides is an exceptional employer that fosters a culture of autonomy and innovation, empowering its team to tackle complex data challenges in a fast-paced, international environment. With a strong commitment to employee growth, Atreides offers flexible remote work options, competitive benefits, and a collaborative atmosphere where diverse ideas are valued. Join us to be part of a mission-driven team dedicated to transforming the world through high-fidelity data solutions.
