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

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

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!

Data Engineer – AI-Driven Systems

Key skills