Data Architect - 12 month FTC
London, United Kingdom
SmartestEnergy
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 Data Solutions.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Data management Data quality Data strategy Data warehouse Data Warehousing Engineering Privacy Python SQL
Perks/benefits: Flex hours
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