Data Engineer

Role: Data Engineer Location: London, UK (Hybrid) Salary: £50k-£70k (DOE) Are you passionate about clean energy and data engineering? Join an innovative company dedicated to revolutionising the renewable energy sector by leveraging cutting-edge technology and data-driven solutions. My client is looking for a Data Engineer to help build and maintain robust data pipelines, ensuring seamless data integration and transformation to support business decisions in the clean energy space. What you will be doing:

• Develop and maintain data pipelines: Work with large-scale datasets to ensure efficient data processing, transformation, and storage.
• Optimise data workflows: Use Apache Spark and Databricks to process and analyse energy-related data efficiently.
• Database management: Develop and optimise SQL queries to extract and manipulate data for reporting and analytics.
• Data warehousing: Design, implement, and maintain data warehouse solutions to support efficient data storage and retrieval for analytics and reporting.
• Cloud integration: Deploy and manage data infrastructure on AWS and Azure platforms.
• Automation and CI/CD: Utilise Azure DevOps and DBT to automate data workflows, version control, and deployments.
• Collaborate with cross-functional teams: Work with data scientists, analysts, and software engineers to support analytics and machine learning initiatives.

• Bachelor’s degree in Computer Science, Data Engineering, or a related STEM field .
• 1-5 years experience in a Data Engineering role or similar.
• Proficiency in Python and SQL for data processing and analysis.
• Experience working with Databricks and Apache Spark for big data processing.
• Familiarity with AWS and Azure for cloud-based data solutions.
• Knowledge of DBT for data transformation and modelling.
• Experience with data warehousing concepts and tools like Redshift, Snowflake, or BigQuery .
• Strong problem-solving skills and the ability to work with large-scale datasets.

• Experience in the clean energy sector or working with energy-related data.
• Knowledge of real-time data processing and streaming technologies.
• Familiarity with Power BI or other visualisation tools for reporting.

• Career growth: Be part of a rapidly growing company with opportunities for progression.
• Impactful work: Contribute to the renewable energy transition through data-driven insights.
• State-of-the-art technology: Work with modern cloud infrastructure and big data tools .
• Hybrid working: Flexible work environment to support work-life balance.
• Private healthcare: Comprehensive health coverage to support your well-being.
• Generous holiday allowance: 30 days annual leave plus bank holidays to recharge and enjoy time off.