At a Glance
- Tasks: Build and optimise data pipelines for large-scale analytics and geospatial data integration.
- Company: Join Atreides, a fast-moving tech company transforming complex datasets into actionable insights.
- Benefits: Enjoy competitive salary, health insurance, flexible remote work, and generous vacation time.
- Other info: Collaborative team culture that values curiosity, empathy, and diverse ideas.
- Why this job: Make a real impact by developing cutting-edge data infrastructure in a mission-driven environment.
- Qualifications: 3-5 years in data engineering, proficient in Python and SQL, with cloud experience.
Company Overview: 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. We trust our team with autonomy, believing it leads to better results and job satisfaction. 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. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries.
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. You’ll work across systems that support complex analytics, pattern detection, and visualization over large-scale datasets. 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.
Team Principles: At Atreides, we believe that teams work best when they:
- Remain curious and passionate in all aspects of our work
- Promote clear, direct, and transparent communication
- Embrace the 'measure twice, cut once' philosophy
- Value and encourage diverse ideas and technologies
- Lead with empathy in all interactions
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.
Desired Qualifications:
- 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.
- Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster) and workflow automation principles.
- 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 (e.g., Iceberg, Delta, 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.
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
While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to 'work smart and get things done,' we'd love to hear from you.
Remote Intermediate Backend Engineer (UK) in Fife 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 competitive salaries, comprehensive health benefits, and a flexible remote work setup, ensuring that every team member can thrive both personally and professionally. Join us to be part of a mission-driven team that values curiosity, collaboration, and the transformative power of data.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Intermediate Backend Engineer (UK) in Fife
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Remote Intermediate Backend Engineer (UK) in Fife
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with data engineering, cloud platforms, and any relevant frameworks like Spark or Airflow. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role at Atreides. Share your passion for data engineering and how your background aligns with our team principles. This is your chance to show us your personality!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of your work, especially if they involve large-scale data systems or geospatial data processing.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Atreides Caseri Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and frameworks such as Spark or Airflow. Brush up on your knowledge of cloud platforms and containerization tools too, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you tackled them. Use examples that highlight your ability to build reliable and scalable systems, as this aligns with what Atreides is looking for.
✨Understand Geospatial Data
Since the role involves geospatial data processing, it’s a good idea to familiarise yourself with relevant tools and concepts. Be ready to talk about any experience you have with geospatial data formats and processing libraries.
✨Emphasise Team Collaboration
Atreides values clear communication and teamwork. Think of examples where you’ve successfully collaborated with cross-functional teams. Highlight how you promote transparency and empathy in your interactions, as these qualities resonate with their team principles.
