Data Engineer

Designing and maintaining robust data pipelines (ETL/ELT) to ingest data from APIs, IoT meters, SCADA systems, and financial platforms
Building and optimizing databases and data warehouses for high volume, high frequency datasets
Creating APIs and integrations that automate data flow and boost operational efficiency
Applying data quality checks, anomaly detection, and reconciliation routines to keep everything accurate and reliable
Deploying AI/ML models for forecasting, anomaly detection, and optimization
Supporting financial and technical modelling for renewable energy and efficiency investments

Skills & Experience:
Minimum 2-5 years experience in Data Engineer, Software Development and Applied Analytics
Strong Python programming
Experience with SQL/NoSQL databases
API development skills
Exposure to cloud platforms (AWS)
Familiarity with DevOps / MLOps pipelines, version control, and automated deployment
Experience with Power BI

Qualification:
A Bachelors degree in Computer Science, Computer Engineering, Chemical Engineering, Mathematics or a related qualification


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