Data Engineer

Correla

Correla, established in March 2021, focuses on investment-driven innovation within the energy market, aiming for a net-zero future. Their SaaS products and Managed Services simplify market complexities while enhancing relationships between data, people, and processes. This role supports the industry in its transformative journey.

In this role you can expect to have the responsibilities:

• Build and optimize ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and Apache Spark
• Create and maintain Azure Data Lake solutions (ADLS2)
• Implement data models with Kimball methodology
• Monitor and troubleshoot data pipelines for performance and cost efficiency
• Collaborate with Data Scientists, Analysts, and Product Managers to develop scalable data solutions

This role comes with the following benefits:

• Locate for your day
• Uncapped annual leave
• 6-12% Pension Contribution
• Private Healthcare
• 26 weeks’ full pay equal parent leave
• Wellbeing Services

This role requires you to have:

• Experience with Azure Data Factory, Azure Databricks, Apache Spark, Azure Data Lake
• Proficiency in Python, PySpark, and SQL
• Understanding of dimensional modeling
• Knowledge of security, compliance, and best practices
• Strong analytical and debugging skills
• Strong written and verbal communication skills

You would benefit from having:

Correla is committed to fostering a diverse and inclusive workplace, encouraging applications from individuals of varied backgrounds. They are an Equal Opportunities Employer, ensuring equality of opportunity based on qualifications and experience.