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- Tasks: Design and maintain data structures for our Data Lakehouse and Warehouse.
- Company: Join SmartestEnergy, a global leader in energy solutions with a commitment to sustainability.
- Benefits: Enjoy flexible working options and the chance to work remotely for up to 30 days a year.
- Why this job: Be part of a diverse team making a global impact in the energy sector.
- Qualifications: Expertise in data modelling, Azure, SQL, and data management required.
- Other info: Hybrid working model with 2 days in the office and 3 days at home.
The predicted salary is between 43200 - 72000 £ per year.
We\’re building a robust data ecosystem where the creation of a Data Warehouse and data products forms the cornerstone of our data strategy. You will play a pivotal role in designing, developing, and maintaining the core data structures that power our Data Lakehouse, Data Warehouse, Data Marts, and associated DataSolutions.
In this role, you\’ll lead the design of scalable, consistent, and high-integrity data models, supporting both project-based and BAU (Business as Usual) initiatives. You\’ll work closely with data engineers, analysts, business stakeholders, and governance teams to ensure our data landscape is well-structured, well-documented, and aligned with enterprise-wide standards and strategy.
This is an exciting opportunity for someone passionate about data modelling, data architecture, and driving data quality through thoughtful design and collaboration.
What skills/experience do I need to be successful?
- Expert in conceptual, logical and physical data modelling;
- Skilled in Azure, Fabric, relational/non-relational DBs;
- Strong in data warehousing, lakehouses, and data management;
- Experience with Purview, cataloguing, cleansing, and lifecycle;
- Knowledge of modelling tools (e.g. ERwin);
- Knowledge of business models, budgeting, risk;
- Proficient in SQL, Python, analytics, AI, and data engineering.
What sets us apart?
- Global Impact: With offices in the UK, US, and Australia, and plans for further expansion, you\’ll be part of a dynamic, globally-minded team, with opportunities to explore new markets and make a difference on a global scale.
- Flexible Working: Embrace the freedom to work from anywhere in the world for up to 30 days a year. We prioritize work-life balance, recognizing that your well-being matters. Find out more here.
- Commitment to Diversity and Inclusion: We celebrate our diverse culture and value individuals irrespective of background, disability, religion, gender identity, sexuality, or ethnicity. Join a team where diversity is not just welcomed but celebrated as a key driver of growth and innovation.
What does hybrid working mean to us?
Hybrid working typically means 2 days in the office location listed on this advert and 3 days working at home each week. Some occasional travel to our other offices may be required.
What happens next?
Once we receive your application, it will be reviewed by a human – no bots here! The average process typically takes around 2-3 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a face-to-face meeting or require only 1 video interview. If you have any questions or need support, our Recruitment Team is here to assist you.
Ready to join us on our journey to digitise, decarbonise, and localize the future of energy? Apply now.
We\’re committed to making the application process easy and comfortable. Let us know how we can help you with any reasonable adjustments that can be tailored to your needs. At the bottom of each of our adverts you can find one of our recruitment teams\’ contact details. Please reach out so we can discuss with you further.
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Data Architect - 12 month FTC IT & Change · SmartestEnergy Limited - London office - Canary Wharf · employer: SmartestEnergy Limited
Contact Detail:
SmartestEnergy Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - 12 month FTC IT & Change · SmartestEnergy Limited - London office - Canary Wharf ·
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Azure and ERwin. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with current or former employees of SmartestEnergy on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss your experience with data modelling and architecture in detail. Be ready to share specific examples of how you've designed scalable data solutions in previous roles, as this will demonstrate your expertise.
✨Tip Number 4
Show your passion for data quality and collaboration by preparing questions about the team dynamics and ongoing projects at SmartestEnergy. This not only shows your interest but also helps you assess if the role is a good fit for you.
We think you need these skills to ace Data Architect - 12 month FTC IT & Change · SmartestEnergy Limited - London office - Canary Wharf ·
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Architect position. Familiarise yourself with key terms like Data Warehouse, Data Lakehouse, and data modelling to tailor your application effectively.
Highlight Relevant Skills: In your CV and cover letter, emphasise your expertise in conceptual, logical, and physical data modelling, as well as your experience with Azure, SQL, and Python. Be specific about your past projects that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for data architecture and collaboration. Mention how your values align with the company's commitment to diversity and inclusion.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a role focused on data integrity.
How to prepare for a job interview at SmartestEnergy Limited
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with conceptual, logical, and physical data modelling. Highlight specific projects where you designed data structures and how they contributed to the overall data strategy.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools and technologies mentioned in the job description, such as Azure, SQL, and Python. Be ready to provide examples of how you've used these skills in previous roles, especially in data warehousing and lakehouse environments.
✨Emphasise Collaboration Skills
Since the role involves working closely with various teams, prepare to discuss your experience collaborating with data engineers, analysts, and business stakeholders. Share examples of how you ensured alignment with enterprise-wide standards and strategies.
✨Align with Company Values
Research SmartestEnergy's commitment to diversity and inclusion, as well as their flexible working policies. Be ready to express how your values align with theirs and how you can contribute to a positive and inclusive workplace culture.
