At a Glance
- Tasks: Enhance data quality and governance while supporting innovative digital strategies.
- Company: Dynamic energy sector team focused on data and digital capabilities.
- Benefits: Competitive daily rate, hybrid work, and potential for contract extension.
- Other info: Collaborative role with excellent opportunities for professional growth.
- Why this job: Make a real impact on the transition to a smarter energy network.
- Qualifications: Strong understanding of data governance and experience in regulated environments.
The predicted salary is between 40500 - 49500 £ per year.
- Job
- Title: Data & Digital Specialist
- Remuneration: Competitive daily rate, via Umbrella Company
- Contract
- Details: Temporary, 6 months with strong potential for extension
- Overview
Join our dynamic team as a Data & Digital Specialist!
Help us elevate our data and digital capabilities in the energy sector.
Your expertise will drive improvements in data quality, governance, and accessibility, making a tangible impact on our transition to a smarter energy network.
If you're passionate about data and excited to support innovative digital strategies, we want to hear from you!
Responsibilities
- Drive enhancements in data quality and governance across the organisation.
- Support the development of the DSO Data Portal for better usability and value.
- Champion data best practises, aligning with Ofgem Data Best Practise Guidance.
- Contribute to the DSO Data & Digital Strategy and Digital Roadmap.
- Collaborate with stakeholders to unlock opportunities for data utilisation and digital innovation.
- Promote strong data governance, metadata management, and compliance practises.
- Advocate for the adoption of cloud-based data capabilities and digital tools for greater insights.
- Required Experience
- Strong understanding of data governance and quality management frameworks.
- Experience in regulated environments, ideally with Ofgem standards.
- Ability to influence and drive improvements in data maturity.
- Familiarity with cloud-based data platforms and modern architectures.
- Experience in Agile delivery environments.
- Excellent analytical and problem-solving skills.
- Technical Environment
While this role isn't hands-on data engineering, familiarity with modern data platform technologies is essential, including:
- AWS cloud services
- SQL databases
- Postgre SQL
- Python
- Data cataloguing and metadata management
Experience with AWS services like Glue or Sage Maker is a plus, but the focus remains on governance, quality, and strategy.
Ideal Candidate
We're looking for a bridge-builder between business and technology!
If you're adept at working with both technical and non-technical stakeholders, and have a passion for embedding a strong data culture, you'll thrive in this role.
Help us maximise the value of our data assets and transform how we manage and utilise data across the organisation!
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Data Design Specialist in Dundee employer: Pontoon
Pontoon is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of London. With flexible working arrangements and a strong emphasis on professional development, employees are empowered to grow their skills while contributing to innovative AI-driven solutions in the banking sector. Join us to be part of a team that values your input and encourages meaningful contributions to customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Design Specialist in Dundee
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Pontoon before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Pontoon.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Pontoon.
We think you need these skills to ace Data Design Specialist in Dundee
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Pontoon, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Pontoon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pontoon
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Pontoon.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Pontoon.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Pontoon.
