Senior Data Engineer

Our client is an innovative provider of asset performance management & monitoring solutions, empowering the energy industry to thrive in the digital era and is recruiting a  Senior Data Engineer.  You will design, develop, and optimize our data infrastructure, ensuring reliable ingestion, processing, and availability of large-scale time-series data. Your work will enable advanced machine learning, data-driven decisions, and the optimization of renewable energy assets worldwide. You will collaborate with cross-functional teams and communicate results effectively.

Requirements

• Data Architecture & Strategy : Lead the design and implementation of robust data architectures and pipelines that support real-time and batch processing of wind and solar datasets.
• Data Integration & Transformation : Oversee the ingestion and harmonization of diverse data sources, ensuring reliability, consistency, and performance.
• ETL & Orchestration : Build, maintain, and optimize ETL / ELT processes with a focus on scalability, modularity, and reusability.
• Database Engineering : Design and manage high-performance data warehouses and time-series databases (e.g., TimescaleDB, PostgreSQL, MySQL).
• Quality & Governance : Implement automated data validation, quality checks, and monitoring systems to ensure integrity across the data lifecycle.
• DevOps Collaboration : Contribute to CI / CD processes and containerization (e.g., Docker) to support robust and agile data delivery.
• API Integration : Develop and maintain interfaces for seamless data access and integration with internal and external systems.
• Cross-Functional Collaboration : Partner with product, analytics, and machine learning teams to understand business needs and translate them into data solutions.
• Documentation & Knowledge Sharing : Promote best practices through comprehensive documentation and mentorship of junior engineers.