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Real Estate Data Architect & Warehouse Manager

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Our purpose focuses on how we contribute to society, and how our business decisions can contribute to greater trust and solving important problems. In order to achieve our purpose and deliver a first-class service to our clients, we need first-class supportinternally. The people who power us - our internal teams - have a vital role to make sure we have all the right resources, services and technology to be the best we can be. Not all of us work directly with external clients. The Real Estate and Design teams purpose is to make our places of work suitable for the needs of our people. This includes how we design our workplaces, providing technology to support your experience in the office and making a place of work that drives andenables our future way of working. You will be part of the analytics team which evidences our decision making. Whether this is determining where our offices are located, the size of our offices, or the way the office is designed, data plays a central role in making sure the workplace is fitfor the needs of our people. ResponsibilitiesYou will be responsible for providing information needed by the business. We work with a number of large and complicated data sets. On top of this we are constantly looking to innovate and bring in fresh insights from new data. This role is an exciting opportunityto lead a critical sub team whose purpose is to ingest data into our database, form connections across our data network and provide suitable outputs ready to be used for reports and dashboards. In addition to this we will be looking to you to leverage technicalskills to enhance the way we share insights, whether through chat bots, or advanced predictive modeling. Essential skills & experience

  • Advanced manipulator of data with knowledge of practices of managing data, drawing data from a data lake and preparing that data, ready for analytics, whether in reports or automated dashboards.
  • Advanced knowledge of Python and SQL.
  • Experience in Dimensional Data Modelling.
  • Hands-on experience in Azure Databricks and Apache Spark.
  • Experience in fetching data from third-party APIs.
  • Skilled analyst, capable of taking data and easily articulating a compelling story.
  • Coaches others, recognises their strengths, and encourages them to take ownership of their personal development.
  • Experienced in navigating the technological landscape of a large corporation.
  • Knowledgeable about and proactive in upholding best practice data governance.
  • Methodical in approach to managing work output and ensuring deliverables are met.
  • Preferable experience of the Real Estate sector and how data can be used to influence the built environment.
  • Forward thinking in their approach, open to trying new ideas and contributing to discussions about the future of our Real Estate.
  • Uphold the firms code of ethics and business conduct.

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