Head of Analytics at M-KOPA Solar

You’re excited about this opportunity because you will

• You enjoy working with many stakeholders across the business, like BI developers and business leaders to deeply understand key reporting and analytics requirements for a wide range of use-cases
• Facilitating cross-team discussions around the definition and modeling of key business concepts
• Interfacing with backend developers to design data access patterns that appropriately manage trade-offs between M-KOPA’s analytical capabilities and transactional software flexibility
• Recruiting and supporting a small, world-class, team of Analytics/Data Engineers, providing capacity for M-KOPA to build and maintain analytical data sets across a growing range of domains and use-cases
• Ensuring that analytical data systems are built to the standard of any other production software system, with emphasis on good practices like observability and infrastructure-as-code
• Ensuring that analytical data systems are built securely, with appropriate access controls and PII protections
• Leading M-KOPA’s drive to obtain impactful, real-time access to analytical data; relentlessly driving both commercial strategy and customer experience and helping M-KOPA to live up to its fullest potential as a modern, data-driven company

We’re excited about you because you have experience with

• Experience with modern engineering practices, including observability, CI/CD, infrastructure as-code, and testability
• A mature data modeling skillset, with a particular emphasis on event-based systems and a proven ability to translate between business use-cases and data model design
• Demonstrated capability with large-scale software systems, with a particular emphasis on distributed systems
• Enough experiencing with networking and cloud infrastructure security to be able to stitch a range components together without making any major mistakes
• An interest in being “more than an engineer” and with engaging directly with commercial and customer experience challenges
• Experience recruiting, supporting, and motivating a world-class engineering team

Our stack

• dbt for Transformation
• Looker for visualisation
• Spark / Data Factory / Event Hub / Airflow for ingestion (we’re working on making this simpler in platform)
• Airflow / AKS for orchestration
• Microsoft Azure as our base cloud provider