Data & Backend Engineer – AI-Driven Systems
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Job Description
Data Engineer developing AI-driven systems for global crime and terror response. Building data pipelines and backend services in a collaborative environment.
Responsibilities:
- Build and maintain data pipelines and processing workflows for geolocation datasets at scale
- Work with analytical and relational databases (e.g. ClickHouse, PostgreSQL) - schema design, query optimisation, and integration patterns
- Design and develop backend microservices with FastAPI, integrated into a broader event-driven architecture
- Collaborate closely with product, design, and other engineers in a cross-functional setup - contributing to product decisions, not just implementation
- Write clean, production-grade Python with attention to code quality, testability, and maintainability
- Use AI-assisted tools actively throughout your daily workflow and contribute to building AI agents and multi-agent systems that cut the time it takes our users to reach critical insights
Requirements:
- Strong Python skills - idiomatic, well-structured code; you care about maintainability and readability, not just getting things to run
- Data engineering experience - some hands-on background with data pipelines, transformations, or working with analytical or relational databases; depth is less important than solid fundamentals
- Backend development with FastAPI or similar - experience building and shipping web backend services in Python; FastAPI is a plus but not a hard requirement
- Familiarity with event-driven architectures - understanding of async patterns, message queues, or event streaming (Kafka, RabbitMQ, etc.)
- Code quality mindset - you write tests, review code thoughtfully, and think about the next person to work in your codebase
- Comfort with change and ambiguity - you don't need all the answers upfront; you iterate, ask good questions, and keep moving
- Openness to AI-augmented development - you already use AI tooling as a genuine daily productivity multiplier, or you're actively eager to adopt this approach; we understand this is still a new practice for many engineers and we're happy to support the journey, but the interest and drive to work this way must be real
- Interest in AI agents - exposure to building agentic systems or multi-agent workflows, or a clear and demonstrated enthusiasm to develop this skill on the job
- Product mindset - you engage with the "why" behind the work, not just the "what"; you take ownership of outcomes, not just tasks
- Nice to have: Experience with ClickHouse or other columnar / OLAP databases
- Hands-on work with geolocation or spatial data formats (GeoJSON, H3, PostGIS, etc.)
- Familiarity with orchestration tools (Airflow, Prefect, Dagster, or similar)
- Experience with LLM APIs and agent frameworks (LangChain, LangGraph or similar)
Benefits:
- Working from home
- Flexible hours because we promote work-life balance.
- Yearly performance bonus to reward good performance and hard work.
- Paid medical insurance because we like to take care of you.
- Daily lunch allowance so you can save lots of money, time, and effort by enjoying your free lunch at the office or home every day.
- Sport/Gym(Exercise) allowance to focus more on yourself, your well-being, and your health.
- Udemy unlimited subscription to promote your learning and development and grow your career.
- Onboarding plan and training so that you have a smooth induction and feel confident and ready to take over your new role.
- Equipment support so you have all the tools to do effectively and efficiently your work.
- No dress code because we want you to be as comfortable as possible.
- Gifts and rewards for celebrating birthdays, anniversaries, and personal milestones.
- Happy hours, coffee time, online team building, company events, and much more to promote team bonding and of course to have fun!
- Fresh fruit, snacks, coffee, and tea at the office because work makes us hungry!
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