Data Engineer
2 days ago
About us
Navixy, developed by SquareGPS, has grown into a global leader in Location and IoT solutions. As part of the SquareGPS portfolio, Navixy operates both as a core product and as a distinct entity, supporting over 30,000 fleets and 700 system integrators across 130 countries. Leveraging advanced technologies like GPS, LPWAN, BLE, smart vehicle trackers, and cloud computing, we transform complex technical capabilities into intuitive, actionable solutions that enhance fleet and field personnel operations.
Role overview
We are looking for a
Data Engineer
to join our growing Data team in Serbia (hybrid format). In this role, you'll design, build, and maintain a scalable and secure data infrastructure that powers analytics, products, and business insights. You will work closely with data analysts, DevOps engineers and other teams to ensure data integrity, reliability, and accessibility across multiple systems.
Your mission: create a robust data ecosystem that transforms raw telematics, business, and operational data into structured, high-quality resources — fueling data-driven decisions.
Key responsibilities
- Design, build, and maintain
a scalable, reliable, and secure data infrastructure supporting efficient data acquisition, processing, and storage.
- Architect and manage
end-to-end data solutions in AWS or other cloud environments, including containerized deployments.
- Develop and optimize
data pipelines for both batch and real-time processing, ensuring high performance and data consistency.
- Implement and automate
data workflows, scripts, and tools to improve operational efficiency and reduce latency.
- Ensure data quality and governance
by developing validation, monitoring, and compliance frameworks.
- Collaborate
with Data Analytics, DevOps, and other teams to align data infrastructure with business goals and product needs.
- Continuously improve
reliability, scalability, and performance through automation and modern engineering practices.
Required qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field
- 3+ years of experience as a Data Engineer or in a similar data infrastructure role
- Strong expertise with
AWS
(or other major cloud platforms) and containerization technologies (Docker, Kubernetes)
- Hands-on experience with
ETL/ELT processes
, data pipeline orchestration (e.g., Airflow), and streaming frameworks (e.g., Kafka)
- Proficiency in
SQL
and at least one programming language (Python preferred)
- Knowledge of relational and non-relational databases (PostgreSQL, MySQL, MongoDB, ClickHouse, etc.)
- Familiarity with
data governance
, access control, and compliance standards
- Understanding of
data modeling
, performance optimization, and data warehouse concepts
- English B2 - С1 level (technical communication, documentation, participation in meetings)
Nice to have
- Experience with telematics, IoT, or sensor data
- Familiarity with BI and analytics tools (Power BI, Metabase, etc.)
- Experience with Infrastructure as Code (Terraform, CloudFormation)
- Exposure to data lake or data mesh architectures
- Valid residency in Serbia
What we offer
- Competitive salary based on experience with performance-based bonuses
- Hybrid work model (office in Belgrade + remote options)
- Professional development opportunities and industry events
- Collaborative, international team focused on innovation
- Comprehensive health and wellness benefits, paid vacation time off
If you're passionate about data, thrive on solving complex challenges, and want to shape the future of IoT intelligence, we want to hear from you
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