At a Glance
- Tasks: Transform data into actionable insights and lead data modelling processes.
- Company: Pontoon, an inclusive employment consultancy focused on diverse talent.
- Benefits: Competitive rate, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team and contribute to exciting data initiatives.
- Why this job: Make a significant impact in the utilities sector with cutting-edge data technologies.
- Qualifications: Strong data modelling expertise and technical proficiency in SQL.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced environment and want to play a key role in shaping the future of data management within the utilities sector? If so, we have an exciting opportunity for you!
Duration: 6 Months (ext options)
Location: Warwick (Hybrid, 1 day every 2 weeks in office)
Rate: £950 pd (Umbrella)
Overview: Our client is on a journey to enhance their Data & Insights platform, leveraging the power of Azure. As a Data Architect, you will lead the data modeling process and curate enterprise-level data, ensuring it aligns with business processes and analytics. This is your chance to make a significant impact in a live platform environment, guiding engineering teams and contributing to data-driven decision-making.
Key Responsibilities:
- Develop & Maintain: Create and enhance enterprise-level conceptual, logical, and physical data models, expanding them as new data subject areas are integrated.
- Collaborate: Work closely with business stakeholders, architects, and engineering teams to gather and understand data requirements.
- Align & Optimize: Ensure data models are aligned with enterprise architecture strategy and optimize existing models for performance and scalability.
- Impact Analysis: Conduct thorough impact analyses for changes affecting the enterprise data platform.
- Support Engineers: Provide technical guidance to engineers on production issues, ensuring smooth operations.
What You'll Bring:
- Data Modelling Expertise: Strong experience with data modeling techniques (conceptual, logical, physical).
- Technical Proficiency: Skilled in SQL and familiar with database platforms such as SQL Server and Databricks.
- UML Knowledge: Expertise in using UML for effective data modeling.
- Tools Savvy: Experience with data modeling tools like Sparx EA.
- Data Warehousing & Lakes: Deep understanding of data warehousing and data lakes.
- Business Acumen: Strong analytical skills and the ability to translate business requirements into technical solutions.
- Governance Familiarity: Knowledge of data governance frameworks and industry data standards (e.g., ISO, DAMA-DMBOK).
Why Join Us?
- Dynamic Environment: Engage with a diverse team and contribute to exciting data initiatives.
- Impactful Work: Play a crucial role in delivering "Data as a Product" and support the organization's strategic goals.
- Professional Growth: Opportunity to expand your skills in a collaborative atmosphere with access to cutting-edge technologies.
If you're ready to take your career to the next level and contribute to a pivotal project within the utilities sector, we want to hear from you!
Application Process: Ready to make a difference? Submit your application today, please answer screening questions and embark on an exciting journey with us!
Join our client and help shape the future of data in the utilities industry-where your expertise meets innovation!
Candidates will ideally show evidence of the above in their CV to be considered.
Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.
We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Data Architect in Warwick employer: Pontoon
At Pontoon, we pride ourselves on fostering an inclusive and dynamic work environment where every employee can thrive. As a Data Architect in Warwick, you'll have the opportunity to engage with cutting-edge technologies while collaborating with a diverse team dedicated to transforming data into actionable insights. With a strong focus on professional growth and impactful work within the utilities sector, joining us means being part of a journey that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Warwick
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects and any relevant work you've done. This will give you an edge and help potential employers see what you're capable of.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process and how you approach problem-solving, as this will demonstrate your expertise and fit for the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are ready to make a difference in the data world!
We think you need these skills to ace Data Architect in Warwick
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Architect role. Highlight your data modelling expertise and any relevant projects you've worked on, especially those involving Azure or data governance.
Answer Screening Questions Thoughtfully:When you get to the screening questions, take your time! These are your chance to showcase your passion for data and how you can contribute to our client's goals. Be specific about your experiences and how they relate to the role.
Showcase Your Technical Skills:Don’t forget to mention your technical proficiency in SQL and any experience with data modelling tools like Sparx EA. This is crucial for us to see how you can hit the ground running in this fast-paced environment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Pontoon
✨Know Your Data Models
Make sure you brush up on your data modelling techniques, especially conceptual, logical, and physical models. Be ready to discuss how you've applied these in past projects and how they can benefit the role at Pontoon.
✨Understand the Business Needs
Familiarise yourself with the utilities sector and think about how data architecture can drive business decisions. Prepare examples of how you've translated business requirements into technical solutions in previous roles.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in SQL and any relevant database platforms like SQL Server or Databricks. You might be asked to solve a problem on the spot, so practice some common scenarios beforehand.
✨Engage with the Team
Since collaboration is key in this role, think about how you can effectively communicate with both technical and non-technical stakeholders. Prepare to share experiences where you've successfully worked with diverse teams to achieve a common goal.
