Backend Engineer (Data Platform) - 18 Months Contract

Contract Period: 18 Months Working Location: Central / 2 days WFH Role Overview  We are seeking a Full Stack / Data Engineer to design and build a high-performance data ingestion and API platform for automatic weather station data. The role will focus on cloud-based ingestion pipelines, time-series data storage, quality control logic, and APIs for high-frequency data insertion and retrieval.  The ideal candidate has strong experience building scalable backend systems for real-time or near-real-time data, with the ability to work across ingestion architecture, data modelling, API design, and operational reliability.  Key Responsibilities  • Architect and implement high-throughput data ingestion pipelines for telemetry and sensor data.  • Build backend services and APIs for data insertion, retrieval, configuration, and operational platform functions.  • Design low-latency RESTful, gRPC, or equivalent APIs for high-frequency time-series workloads.  • Implement streaming or near-real-time quality control logic, including anomaly detection and configurable validation rules.  • Design non-proprietary time-series schemas that support efficient storage, retrieval, governance, and future extensibility.  • Support access control, data governance, auditability, and secure integration patterns.  • Collaborate with IoT/network engineers to define ingestion contracts, payload formats, protocol boundaries, and error handling.  • Work with stakeholders to validate performance, stability, and reliability against agreed platform requirements.  • Contribute to system documentation, deployment notes, API specifications, and operational handover materials.  Required Skills and Experience  • Strong backend engineering experience with high-throughput, cloud-based data platforms.  • Experience designing and operating data ingestion pipelines for streaming, telemetry, sensor, IoT, or time-series data.  • Proficiency in at least one modern backend language such as Python, Java, Go, Node.js, or similar.  • Experience designing production-grade APIs, including REST, gRPC, or equivalent programmatic interfaces.  • Familiarity with time-series databases, relational databases, data lakes, or scalable storage systems.  • Understanding of performance tuning, data partitioning, batching, backpressure, observability, and reliability patterns.  • Ability to work across data engineering, backend development, and platform integration concerns.  Good to Have  • Experience with cloud services, containerized deployments, CI/CD, infrastructure-as-code, or managed streaming technologies.  • Familiarity with data quality frameworks, rules engines, or anomaly detection for operational data.  • Experience with environmental, geospatial, industrial IoT, or mission-critical data systems.  Interested candidates who wish to apply for the above positions, please click "Apply now" We regret that only shortlisted candidates will be notified.