Data Architect, Python

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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.
Expert in conceptual, logical and physical data modelling;
Skilled in Azure, Fabric, relational/non-relational DBs;
Strong in data warehousing, lakehouses, and data management;
Knowledge of business models, budgeting, risk;
Proficient in SQL, Python, analytics, AI, and data engineering.
Flexible Working: We prioritize work-life balance, recognizing that your well-being matters. 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.
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. We may invite you for a face-to-face meeting or require only 1 video interview. Let us know how we can help you with any reasonable adjustments that can be tailored to your needs. Our privacy policy is here
Employment type Full-time

Job function Engineering and Information Technology
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Location:
London
Job Type:
FullTime