CrossBoundary Energy (CBE) is recruiting a Data Engineer for data analytics to take charge of transforming raw data from diverse sources into clean, actionable datasets for various organizational users. This individual will be working with a new and growing team at CBE, playing a pivotal role in unlocking the value of data.

This Engineer will be tasked with executing our ELT strategy’s technical implementation. They will apply software engineering and analytics best practices to design, build, and maintain data pipelines and models, working closely with data analysts and business users to deliver transparent and effective data solutions. The systems they build are expected to be robust and reliable, with ongoing monitoring and optimization.

This role will report to the Lead Analytics Engineer within CrossBoundary Energy’s DataOps team.

Who We Are  

The CrossBoundary Energy team is a unique group of people who are genuinely excited by the opportunity to make a difference in some of the world’s most challenging and exciting renewable energy markets. The chosen candidate will play an important role in a unique team with the opportunity to make a large impact on the clean energy landscape in Africa. Team members come from diverse backgrounds but share several qualities: curiosity, humility, integrity, a drive for excellence, and a bias for action.

Required Qualifications  

• Bachelor’s degree or equivalent professional certification in computer science or related field

• 4+ years’ experience working in data engineering or data analytics

• Highly skilled in building and maintaining ELT processes for a range of complex data sources; including commercial CRMs, Scada telemetry systems, open-source APIs.

• Confident designing and implementing industry standard data modelling principes to prepare datasets for analysis

• Experience working with data lake and/or lakehouse data architectures

• Skilled in SQL

• Proficient at working with cloud-based data tools; preference for experience with Snowflake, dbt, and Azure Data Factory

• Experience applying software engineering best practices and guidelines to analytics code and data model development

• Strong interest in Microsoft stack technologies. Experience in Microsoft Dynamics beneficial

• Proactive communicator, sharing and summarizing progress with manager on a daily basis

• Willing to learn new technologies and tools

Primary Responsibilities   

• Execute the technical implementation of the ELT strategy for CBE’s data infrastructure

• Design, build, and maintain data pipelines and models using software engineering and analytics best practices

• Collaborate with data analysts and business users to deliver transparent and effective data solutions

• Ensure the robustness and reliability of the data systems, with ongoing monitoring and optimization

Required skills: 

• Data Engineering (4+ years)

• SQL (4+ years)

• Data Warehousing (Kimball methodology)

Beneficial skills: 

• dbt

• Snowflake

• Python

• Azure Data Factory

• Microsoft Azure

• Microsoft Dynamics