About IWG We're changing the world of work. We believe that business success is underpinned by the effectiveness of its people. So we made it our mission to help millions of people have a great day at work - every day. With locations in practically every country, city, town and transport hub, and options ranging from an hour's coworking to multi-year office space leases, we enable people and businesses to work where, when and how they want.
Technology in IWG We're focused on delivering seamless digital propositions which allow customers to instantly manage their requirements and position IWG as the "Digital First" workspace provider. As early adopters of the latest technologies - whether it be Artificial Intelligence, Office IoT, Data or Cloud Solutions - we create business value and are constantly striving to find new and improved ways to help our customers. Which is why we're always on the look-out for intelligent, energetic, self-motivated, and curious individuals. We want to bring about a global workspace revolution and want you to help.
The Role As a Data Engineer for IWG you will:
Contribute to the development of the data strategy and roadmapProduce and develop integrated end-to-end data solutionsComplete assessments to ensure compliance with data protection legislation (ie. GDPR)Advise and support on all aspects of data governanceDocument models and diagrams for development teams, architecture review board, and technical leadershipBe responsible for the development and production support of data integration, automation, and defining pipeline for data integrationsExplore and research new technologies and perform POCs as neededWork as part of a wider team of data-oriented professionals that reports to the Director of Architecture.What you'll need to succeed You have a Bachelor's degree in Computer Science or equivalent, a Master's degree in information management or equivalent degree and/or experience would be desired. You have at least 2 years of successful experience working in a data engineering role.
Qualifications / Skills / Experience Proven experience with Python and SQLExtensive experience using ETL toolsExperience with the Azure ecosystem, including Azure Data Factory and Azure Data LakeExperience with DatabricksKnowledge of other data and BI tools such as Power BI, Tableau or QlikViewFluent in both written and spoken English
#J-18808-Ljbffr