Data Analytics Engineer

Job ID

2026-2283

Category

Digital

Location : City

Cape Town

Location : Country (Full Name)

South Africa

Want to join a frontrunner in renewable energy that is actively seeking early entry into new markets globally? Since the establishment in 2007, Scatec has acquired extensive knowledge and experience in developing, building and operating solar, wind and hydro power plants and storage solutions. Driven by our company values and competent global workforce, we aim to deliver competitive and sustainable renewable energy globally; protect our environment and improve quality of life through innovative integration of technology; and create shareholder value. We are present on four continents and are headquartered in Oslo, Norway.

Main purpose of position

Currently we are looking for a Data Analytics Engineer in Cape Town, South Africa to be part of our global team working together towards our vision – Improving our future.

As our Data Analytics Engineer, you will be responsible for driving the business to make data-driven decisions and improving self-service Business Intelligence within Scatec.

You will engage with teams across Finance, Project Development, Asset Management, HR, Solutions and Operations & Maintenance (O&M) to understand business processes and value drivers and translate them into robust data solutions.

You will have ownership of the end-to-end data flow, including architecture, transformation, governance and platform optimisation, while promoting data best practices across the organisation.

Main responsibilities

• Develop, own and maintain a central data architecture and platform/service for relevant data across the organisation

• Deliver valuable and high-quality data products to business units

• Expand and centralise common business data and enterprise data models

• Ensure best practice infrastructure and database optimisation for improved delivery lead-time

• Design and execute processes to ensure strong data governance, quality and integrity

• Build and maintain common datasets for self-service reporting across the organisation

• Maintain global standard reports and data sets

• Train and support end users in reporting tools and relevant analysis tools

Qualifications and Competencies

• Minimum Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or other quantitative field, or relevant experience with documented results

• 2–3 years relevant professional experience

• Fluent in both written and spoken English

• Excellence in data engineering and building data transformation pipelines using SQL and DBT

• Strong understanding of data modelling concepts and techniques for data warehousing and governance

• Experience with Databricks and Azure

• Experience with Infrastructure as Code, DevOps and DataOps practices

• Experience in data integration across enterprise systems

• Ability to work with data visualisation and reporting tools such as Tableau, Power BI and Excel

• Familiarity with Dynamics 365 Finance and Operations is favourable

• Knowledge of ML models and MLOps is an advantage

Personal characteristics

It is part of every employee’s terms of reference to contribute to Scatec's vision: Improving our Future and adhere to our company values which are:

• Predictable: demonstrate clear communication and listening skills, shares information in an open and honest way
• Driving results: demonstrate determination, pro-activeness, can prioritise and work independently
• Changemaker: demonstrate entrepreneurship, can challenge, fast learner, take initiates and adjust
• Working together: demonstrate teamwork, shares responsibilities, can compromise, has a can-do attitude

We offer

Scatec is an exciting, innovative and ambitious company operating in a growing industry. We offer a challenging and interesting position where you will be part of a flexible, diverse and truly international working environment consisting of highly competent and committed colleagues with a positive drive to make a difference.

Scatec is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other basis protected by appropriate law. All hiring decisions are made based on merit, competence and business need.

Applications will be processed on a continuous basis