Senior Data Engineer

  • Design, develop, and maintain internal data platforms for scalable storage of energy sector data
  • Architect and implement robust, scalable, and reliable data pipelines that ingest, transform, and integrate time series data from multiple sources
  • Collaborate with cross-functional teams to define and implement data models that support business analytics and forecasting
  • Develop dashboards and visualisations to communicate insights effectively to stakeholders
  • Drive best practices for data quality, security, and performance optimisation
  • Mentor junior data engineers and contribute to the continuous improvement of data engineering standards
  • Advanced degree in Computer Science, Data Science, Mathematics, or similar field
  • Minimum 4-6 years of experience in data engineering roles.
  • Proficient in Python and SQL for large-scale data transformations of time series data
  • Extensive experience with Databricks (Lakehouse Architecture), Azure cloud services, and Power BI
  • Strong understanding of DataOps and DevOps principles
  • Strong interest in data modelling (conceptual, logical, physical), ETL development, and data warehousing
  • Full professional proficiency in English

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