Data Governance Undergraduate

Swindon, Wiltshire, GB, SN5 6PB

RWE

We dared to make a new start: With over 125 years of history, RWE has fundamentally changed and is now a leading supplier of renewable energies worldwide.

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RWE Renewables Europe & Australia GmbH
To start as soon as possible, part time, fixed term

 

The Data Governance team at RWE Renewables plays a foundational role in ensuring data is trusted across the organisation. Focused on establishing policies, standards, and frameworks, the team supports data quality, compliance, providing a structured approach to data management. With an emphasis on collaboration, Data Governance works across departments to enforce data stewardship and support data literacy. As we embark on expanding our data strategy in early 2025, there are exciting opportunities to contribute to creating a culture where data is managed and utilised with integrity and purpose.
We are looking for a student that has a keen interest in data governance to join one of the largest renewable energy companies in the world. In the role you will be a part of our global Onshore Renewables Data Governance department and make a valuable contribution to the team's success.

 

The Role

  • Support the establishment of clear data ownership and stewardship roles across departments, helping define accountability and responsibility for data assets.
  • Being involved in discussions to promote data usability and shareability, ensuring that data assets are accessible and valuable for cross-functional purposes.
  • Participate in creating and documenting data governance processes that foster consistency, security, and compliance, laying the groundwork for responsible data usage.
  • Assist in developing standards to make data understandable and findable, enhancing the ease of access and integration across the organisation.
  • Contribute to the development and maintenance of the Data Catalog, supporting the classification, tagging, and documentation of data assets to ensure they are searchable, understandable, and readily available to stakeholders.
  • Contribute to data quality initiatives, supporting the setup of systems and processes that monitor and ensure the accuracy, completeness, and reliability of data.

 

Requirements

  • Undergraduate student of IT, Data Management, Computer Science, Business Administration, or any other related discipline    
  • High level of initiative, reliability, and strong organisational skills with a keen eye for detail
  • Very good communication skills and a confident manner
  • Good MS Office skills and the ability to quickly learn new IT tools
  • Being available for 20 hours a week, days and times will be agreed around your studies and it will be a set time each week 
  • Willingness to learn and enthusiasm 

 

Apply with just a few clicks: ad code 88571, application period: 15/12/2024 .
Any questions? Contact HR: Danielle Roe, danielle.roe@rwe.com

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters

In the segments of onshore wind and solar, RWE Renewables Europe & Australia is among the largest electricity producers in Europe and has become a key player in the field of renewables. With its comprehensive „Growing Green“ investment and growth strategy, RWE is expanding green generation capacity – to more than 65 gigawatts by 2030.

To this end, RWE is investing €55 billion between 2024 and 2030. RWE Renewables Europe & Australia is focusing on its core markets in Europe and Australia. The team with 1,800 colleagues across 11 countries has come a long way already. With the project pipeline well filled in all technologies, battery storage, onshore wind power and solar energy, you’ll have the freedom to act with conviction and courage as we pivot to new technologies – and continuously improve, together.

 

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Tags: Classification Computer Science Data governance Data management Data quality Data strategy Security

Region: Europe
Country: United Kingdom

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