Overview
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 Senior Data Analytics Engineer in Oslo, Norway 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. The role will require to engage with teams across all departments such as finance, project development, asset management, HR, and operations. Important to have a vast understanding of business processes and value drivers to specify requirements. The role will provide exposure to different levels of the data landscape, having full ownership of the end-to-end flow of data, being responsible for data architecture, governance and systems and communicating best practices within the organization.
Main responsibilities
- Develop, own and maintain a central data architecture and platform/service for relevant data across the organization
- Deliver valuable and high-quality data products to the business units
- Expand and centralize our common business data and data models
- Ensure best practice infrastructure and database optimization for improved delivery lead-time
- Design and execute processes for ensuring data governance
- Build and maintain common datasets for self-service reports across the organization
- Maintain global standard reports and data sets
- Train end users in reporting tools and other relevant analysis tools
Qualifications and competencies
- Higher education, minimum bachelor within computer science, statistics, informatic, information systems or other quantitative studies, or relevant experience with documented results
- 6+ years relevant experience
- Fluent in both written and spoken English
- Excellence in data engineering building data transformation pipelines using SQL and DBT
- Excellence in data modelling concepts and techniques for data warehousing and governance
- Experience with Databricks, Azure
- Experience with Infrastructure as code, DevOps, DataOps
- Data integration
- Ability to work with with data visualization and reporting tools, such as Tableau, Power BI, and Excel
- Familiarity with Dynamics 365 Finance and Operations is favorable
- Knowledge of ML models and MLOps a bonus
Personal characteristics
It is part of every employees’ 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 prioritize 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.
