The Rank Group
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Maidenhead, Berkshire
Data Modeler
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Job Type: Full-time |
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Overview
Company Description The Rank Group is growing rapidly within both our Venues and Digital businesses. If you’re not sure who we are, you may be more familiar with us through our iconic brands; Mecca Bingo and Grosvenor Casino. We have most recently acquired Stride Gaming, which, together with our existing Digital business, forms Rank Interactive. We employ circa 8,000 people globally, with our UK office functions being located in Maidenhead (Head Office), Sheffield (Customer Solutions Hub), London (Digital) and a further office in Gibraltar, which is home to our existing Rank Digital function. We are evolving as a business and are adding some exciting new brands and concepts to our venues and digital offering. By joining an office-based or operational function with us, you’ll instantly be part of a high-performing and inclusive culture, which works closely to support our Customer-facing teams. Job Description As a Data Modeler within our Data and Analytics function, you will play a pivotal role in technically delivering our data and analytical product alongside a talented multi-disciplinary team comprising of business and data analysts, ELT developers, customer insight teams, data scientists and BI developers. You will be passionate about working with data and ensuring we build products that exposes the value of that data. Main Accountabilities and Responsibilities Transforming complex business structures, processes and activities into technical solutions Build out our data lake and transform our data into usable data views e.g. Target Data Model with a Single Customer view of the customer. Design, build and support scalable, high performance data applications, repositories and data governance related applications Contribute to the definition of data architecture standards and establish best practices for data management (including the handling of Personally Data) Design and implement logical and physical data models across platforms Manage equivalent, separate data sets across different development and staging environments as part of our release process Seek out opportunities to propose new concepts and ideas in 'Big Data’ and expand existing platforms or leverage new technologies to meet more complex business needs Help mentoring the more junior developers and analysts in data product development Qualifications Degree qualified Proven project experience in modelling and evolving complex data structures Solid understanding of data warehousing principles, concepts and best practices (e.g. ODS, Data Warehousing, Data Lakes, Kimball, Zachmann, TOGAF) Solid experience of documentation ( Design documentation and Source to Target Mappings) Strong SQL/ T-SQL / SSIS and data profiling skills Previously worked on a "Big Data platform", enabling non-technical users to gain insight into key business metrics Hands on experience with modern "Big Data" systems (e.g. Azure Data Warehouse, Azure Analysis Services, Azure Data Factory. Snowflake is a bonus) Excellent knowledge of data formats including JSON, XML, CSV etc. Familiarity with a traditional BI application such as Power BI, Hands-on ELT experience using tools like WhereScape Red, WhereScape 3D Experience working with both modern compiled and dynamic / scripting languages: e.g. Python, R Strong problem solving and analytic skills Comfortable working in a fast paced dynamic environment with a certain degree of uncertainty Master Data Management and Data Governance experience. Additional Information Personal Qualities Demonstrates sense of passion and pride about own work. Positive attitude and adapts well to change. Inspires passion and excitement around shared goals, promoting environment of achievement. Demonstrates the ability to motivate and influence teams and individuals with whom there is no direct or indirect management responsibility Able to articulate a compelling vision, and effectively manages self / others through ambiguity. Excellent presentation, written and verbal communications skills Proven ability to evaluate business specifications, design in detail all data solutions necessary and provide technical guidance to other members of a project team Experience of working effectively with both business and technical stakeholders