Data & Digital Engineer at Daystar Power

Lagos, Lagos State, Nigeria -

Full Time

Start Date

Immediate

Expiry Date

01 Sep, 26

Salary

0.0

Posted On

03 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modelling, Data Engineering, AI, Hyper-automation, Power Apps, Power BI, Python, AWS, Azure, MongoDB, Alteryx, Azure Machine Learning, Data Governance, Agile Methodologies, Business Analysis, Data Visualization

Industry

Renewable Energy Power Generation

Description

Daystar Power Group is a Pan-African provider of solar and hybrid power solutions, offering its systems on a Power Purchase Agreement (PPA), fixed monthly fee lease or buy-out basis. All our solutions are accompanied by comprehensive maintenance services, to ensure the solutions run 365 days a year. We are currently operational in Nigeria, Ghana, Togo, Senegal & Ivory Coast. We are looking to engage a competent and experienced Data & Digital Engineer who will be responsible for unlocking value for the business through data and new technologies especially AI & Hyper-automation. He/she would identify, mature and deliver opportunities through the value funnel that demonstrate benefits. The individual would translate business strategy into data-specific actions and interventions, assess the benefits of new technologies and trends and collaborate with Data Value Owners to deliver key business benefits realization goals. The Data & Digital Engineer would lead a vibrant Group DIY (Do-It-Yourself) programme and developer community, other Data & Analytics Projects/Initiatives and provide leadership to Group DIY Coaches. The job holder would help create a data-driven and automation thinking within the organization, not just within Daystar IDT, but also in the wider Business stakeholder community from the Lagos - Nigeria office. We are seeking a hard-working, self-motivated, and well-organized individual with a focus on continuous improvement to exceed expectations. Daystar Power Group is an equal opportunity employer, committed to promoting diversity and inclusion in the workplace. We prohibit all forms of discrimination and harassment based on race, colour, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy or any other characteristic protected by federal, state or local law. Qualified women are encouraged to apply. Key Responsibilities: Data Modelling and Design: Develop and maintain comprehensive data models that accurately represent data structures and relationships. Design output tables to be provided to customers, identifying data sources/inputs, and suggesting changes. Draft data orchestration to indicate the type of data transformation required at each stage of the flow and scenarios for triggering these transformations. Utilize advanced modelling techniques and tools to create detailed visual representations, including entity-relationship diagrams, dimensional models and data flows. Project Delivery: Lead the design and implementation of data models and flows and new Technologies like AI and Hyper-automation in Daystar. Collaborate closely with business analysts, data engineers, and other stakeholders to ensure data models align with business needs and project objectives. Run the initial analysis of the requirement implementation feasibility by presenting the draft of data flow and collecting time and effort estimation from engineers. Data Platforms and Technology: Demonstrate an awareness level of understanding of data platforms and strategic technology landscape. Utilize AWS and Power BI for data acquisition, transformation, and visualization. Implement best practices for data management, governance, and compliance. Business Collaboration: Engage with business colleagues and end-users to understand their data and KPI requirements. Translate business needs into technical solutions, providing expert recommendations and insights to optimize data usage and reporting. Data Assurance: Develop and implement processes for data assurance to ensure the highest levels of data quality and integrity. Bachelor’s or Master’s degree in ICT, Electrical/Electronic Engineering and Computer Science. Candidates with degrees in other subjects but with strong hands-on domain achievements and relevant certifications in the areas listed above are also acceptable. Five (5) years experience in Data modelling, Data engineering, or Business analysis. Experience in building/optimizing complex queries and good grasp with data manipulation, processing and extracting value from large, disconnected datasets. A good understanding of data foundation initiatives, like data modelling, data quality, data governance, data maturity assessments and data strategy in support of the key business stake holders. Proficient in using all or some of the following Tools - Power Apps (mandatory), Power BI (mandatory), Azure Machine Learning, Alteryx, Python and AI Builder. ITIL Certification (preferred). Certification in data modelling or related fields (preferred). Knowledge of Agile methodologies and tools such as Visual Studio Team Services (VSTS) and the use to run scrum meetings. Proven subject matter expertise working with cloud technologies like Azure/AWS, MongoDB. Opportunity to work in a forward-looking, innovative company, with international group of colleagues. Unlimited career opportunities - depending on achievements and personal development. A competitive salary and benefits package with long term prospect in a fast-growing company.

Responsibilities

The role focuses on unlocking business value through data modelling, AI, and hyper-automation to drive a data-driven culture. The engineer will lead the design of data flows and manage a developer community to deliver key business benefits.