Lead Engineer, Data Analytics at CrossBoundary

Job Description

• CrossBoundary Energy is recruiting a full-time Lead Engineer in Data Analytics to take charge of transforming raw data from diverse sources into clean, actionable datasets for various organizational users.
• This individual will be pioneering the data infrastructure, establishing foundational architecture, and procedures for an expanding team.
• They will apply software engineering 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 This Lead Engineer will be CBE’s first data hire and will join CBE’s Operations team, which reports to the COO.

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.
• Team members come from diverse backgrounds but share several qualities: curiosity, humility, integrity, a drive for excellence, and a bias for action.

Who You Are

• Excellence: You hold yourself to high standards and lead by example. You overdeliver on all tasks – big or small – necessary to contribute toward the team objective
• Curiosity: Not satisfied with “not possible;” imagines ways to apply new sources and analytics platform to business requirements
• Acts Like an Owner: A systematic and highly organized project manager; takes personal accountability for managing teams and exceeding user expectations
• Deliberate Thinker: A pragmatic decision-maker known for deducing the simple, robust solution where more complicated approaches would deliver the same results. Communicates persuasively with developers, business users, and executives.
• Bias to Action: Self-starter who is passionate about creating lasting change in Africa. You are comfortable with ambiguity and effective in a fast-moving and complex environment. Translates ideas into roadmaps recommending how we can rapidly incorporate pioneering technologies into our daily work
• Prioritizes Results: Demonstrated track record of managing diverse stakeholders and workstreams to drive to successful conclusion
• Integrity: Knowledge of laws, regulations, requirements and ethical issues related to the access and use of information, for example intellectual capital, personally identifiable information, and other sensitive data

Required Qualifications

• 5+ years’ experience working in data engineering or data analytics
• Skilled in building and maintaining data pipelines and data warehouses
• Proficient in SQL and at least one programming language, preferably Python
• Familiar with software engineering best practices and cloud-based data infrastructure
• Strong interest in Microsoft stack technologies
• Fluency communicating via the Microsoft Office Suite (Word, Powerpoint, Excel, Teams, Sharepoint)

Primary Responsibilities

• Design and implement data extraction, transformation, and loading processes
• Build and manage a centralized data repository to support business intelligence and machine learning applications
• Utilize tools such as SQL, Python, and cloud-based data infrastructure platforms (AWS Redshift, Azure, Google Cloud) to maintain data pipelines
• Apply data modeling principles to prepare datasets for analysis
• Ensure high performance, availability, and quality of data systems through monitoring and optimization
• Collaborate on data governance policies to ensure data compliance and security
• Engage with external partners for software development and data expertise
• Document and communicate data architecture to leadership and operational teams
• Explore and integrate new technologies to enhance data engineering capabilities
• Negotiate on CBE's behalf to contract external software development partners or data professionals. Manage constructive conflict where necessary in a calm, curious, and solutions-oriented manner to advance CBE's business interests
• Train CBE teams on new, efficient ways of working to take advantage of data analytics capabilities