Data Engineer

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.

Join us at www.iwgplc.com

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 roadmap
• Produce and develop integrated end-to-end data solutions
• Complete assessments to ensure compliance with data protection legislation (ie. GDPR)
• Advise and support on all aspects of data governance
• Document models, diagrams to development teams, architecture review board, and technical leadership
• Be responsible for the development and production support of data integration, automation, and defining pipeline for data integrations
• Explore and research new technologies and perform POCs as needed
• Works as part of a wider team of data-oriented professionals that is reporting 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

• Demonstrable Python and SQL experience
• Strong experience in utilizing ETL tools
• Azure Data Factory and SSIS experience
• Azure ecosystem experience
• Experience with Azure Data Lake
• Fluent level of English, both written and spoken
• Knowledge of other Data and BI tools like Power BI, Tableau
• Knowledge of other Data and BI tools like Power BI, Qlikview
• Knowledge of Power BI Paginated reports