The Intermediate Analytics Engineer will build robust, integrated, and efficient data products that deliver best-in-class use case led analytics across the organisation. They will work with a senior or lead analytics engineering to build data products and pipelines for high impact projects that deliver scale and automation and improves data availability and quality.
Requirements
- Degree or Diploma in Computer Science, Software Development, Engineering, or a related field
- Minimum of 1 year of hands-on experience within a data team, working as a data engineer or data-focused software engineer
- Familiarity with contemporary data processing tools and technologies
- Proficiency in Python and SQL
- Familiarity with modern data processing platforms and tools like Snowflake and dbt
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud
- Basic understanding of the concept of Infrastructure as Code
- Foundational grasp of software development best practices and version control systems (e.g., Git)
- Commitment to coding standards
- Understanding of fundamental testing methodologies
- Experience collaborating within and across multifunctional teams
- Experience working in an Agile environment
Benefits
- Competitive salary
- Opportunities for career growth and development
- Collaborative and dynamic work environment
- Access to cutting-edge technologies and tools
- Diverse and inclusive workplace
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