Data Engineer

Posted Yesterday
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Johannesburg, City of Johannesburg, Gauteng
Mid level
Financial Services
The Role
The Data Engineer will transform raw data into actionable datasets, execute the technical implementation of ELT strategies, design and maintain data pipelines and models, and collaborate with data analysts for effective solutions at CrossBoundary Energy.
Summary Generated by Built In

Data Engineer 

CrossBoundary Energy

About the Firm
CrossBoundary Energy develops, owns, and operates distributed renewable energy solutions for businesses, offering cheaper and cleaner energy through power purchase and lease agreements. With a secured portfolio exceeding $680M, the company boasts over 500MW of solar PV and wind generation, approximately 600MWh of battery energy storage, and around 50MW of enabling thermal generation assets. Their clients include industry leaders like Rio Tinto, Unilever, Diageo, Heineken, and Devki Group. 
 
The diverse portfolio features large-scale renewable-led hybrid power plants for mines, rooftop and ground-mount solar PV plants for industrial clients, and distributed solar PV and battery power solutions for telecommunications sites. As a member of the CrossBoundary Group, founded in 2011, CrossBoundary Energy is dedicated to unlocking the power of capital for sustainable growth and strong returns in underserved markets. Learn more at www.crossboundaryenergy.com. 

Job Description

CrossBoundary Energy (CBE) is recruiting an 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 

Location 
Candidates will join our team in Johannesburg, South Africa. 
 
Equal Opportunity Employer
CrossBoundary is an equal opportunity employer. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected] 
 
Contact
Interested candidates should apply at https://www.crossboundary.com/careers/. 

Top Skills

Python
SQL
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The Company
Washington, DC
170 Employees
On-site Workplace
Year Founded: 2011

What We Do

CrossBoundary is a mission driven investment firm that unlocks the power of capital for sustainable growth and strong returns in underserved markets.

We take a transaction centered approach to underserved markets. CrossBoundary provides investment advisory services, having developed a specialized expertise in unlocking investment across all sectors in emerging and underserved markets. Our advisory clients include governments, development finance institutions, private equity firms, Fortune 100 companies, and research institutions. Our direct investment arm, CrossBoundary Energy, finances solar projects in Africa. Learn more at www.crossboundary.com

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