Our client, a data and AI company specialising in geospatial analytics and real-world insights are looking for a top-tier Full Stack Engineer with strong Python and React expertise, and a deep understanding of data science and large-scale data systems.
This is not a standard engineering role. You will be working on complex, high-volume datasets, building systems that extract signal from noise, and designing tools that allow users to explore and act on intelligence in real time.
Responsibilities:
- Full Stack Development
- Design and build scalable backend systems using Python
- Develop high-performance, intuitive frontends using React
- Architect and maintain APIs and services that handle large-scale data processing
- Data Systems & Intelligence
- Work with massive datasets (billions of events) and optimize for performance and accuracy
- Design pipelines for ingestion, transformation, and querying of complex data
- Implement advanced filtering, aggregation, and profiling capabilities
- Data Science & Analytical Thinking
- Understand and manipulate probabilistic, behavioral, and geospatial data
- Apply data science concepts to improve targeting, profiling, and insights
- Work closely with data scientists to productionize models and algorithms
- Performance & Scalability
- Optimize systems for speed, efficiency, and reliability at scale
- Work with distributed systems, columnar databases and caching strategies
- Identify bottlenecks and proactively solve them
- Problem Solving & Ownership
- Break down ambiguous, complex problems into actionable solutions
- Take full ownership of features from design to deployment
- Continuously improve system architecture and code quality
Requirements:
- Technical Skills
- Strong experience in Python (data processing, backend systems, APIs)
- Strong experience in React (modern frontend development)
- Solid understanding of data structures, algorithms, and system design
- Experience working with large-scale datasets and high-performance systems
- Data & Analytical Skills
- Strong grasp of data science fundamentals (statistics, probability, data modeling)
- Experience working with analytical databases (e.g., ClickHouse, BigQuery, etc.)
- Ability to reason about noisy, incomplete, or probabilistic data
- Mindset
- Exceptional problem-solving ability
- High ownership and accountability
- Ability to operate independently in a fast-moving environment
- Strong attention to detail with a bias for action
Nice to have:
- Experience with adtech data ecosystems
- Familiarity with geospatial data and analysis
- Experience with machine learning pipelines or model deployment
- Knowledge of distributed systems and stream processing
What We’re Looking For (Non-Negotiable):
- You are an A-player — not average, not passive
- You enjoy hard problems and don’t wait for instructions
- You can move fast without breaking critical systems
- You think in systems, not just code
Why Join:
- Work on technically challenging problems most engineers never encounter
- Direct impact on core product and architecture
- Exposure to massive datasets and real-world intelligence use cases
- High ownership, low bureaucracy, fast execution environment
Benefits:
- Hybrid Work Structure
- Flexible working hours, allowing you to maintain a healthy work-life balance while meeting business requirements.
- Office Location is located in Latsia, Nicosia, with very convenient access as it is situated close to the highway.
- Salary Range(Gross Monthly): €2,500 – €5,000
- 13th Salary
- Private Health Insurance upon successful completion of the 6-month probation period.
To apply:
Please send your CV to StaffMatters at admin@smstaffmatters.com and mention that you are applying for the vacancy of Full Stack Engineer with reference number 4428.
Or you can apply directly through your candidate login by hitting the APPLY button.
