Big Data Engineer

Job Description

* Country United Kingdom (non-London) and KGS Service Line Group Digital Lighthouse within Connected Technology KPMG Overview Joining KPMG means joining a talented team of exceptional colleagues who bring innovative thoughts and a natural curiosity to the work they do each day. No one type of person succeeds at KPMG; a diverse business requires diverse personalities, characters and perspectives. There really is a place for you here. Service Line Information Connected Technology services the broader Firm and our clients, through delivery of technology and managed services. Digital Lighthouse provides deep capability in Data Science and Engineering, Analytics, Artificial Intelligence, Intelligent Automation, UX Design and Cloud. Job Description The Role We established our team two years ago. Due to our continued success, we have a healthy, increasing demand pipeline meaning we need to grow the team further.The Big Data Engineer will work closely with customers to define and agree requirements. They will architect, design, cost and plan solutions and will support delivery teams as those solutions are implemented into live service. They will report into and support the Principal Data Architects as the team is managed on a day to day basis and strategic outcomes are delivered. They will lead and mentor junior members of the team. They will build strong networks in KPMG UK and globally. The Person

• Experience in several or all of the areas described above
• Experience in architecting, designing and implementing solutions in the Microsoft Azure stack using technologies such as Scala (Mandatory), Hive and Spark and Big Data Analytics
• Skilled in data modelling across both operational (OLTP) and analytical (OLAP) use cases
• Experience of working across end-to-end software development, technology or consulting projects (strategy, discovery, design, development and deployment)
• Experience explaining complex processes and circumstances in technical and non-technical terms to ensure all understand
• A talent for clear, concise communication and getting your point across, both verbal and in written format
• Experience in working with both Agile and Waterfall methodologies and familiarity with the benefits and risks of each
• The ability to work in a fast-paced environment with minimal supervision, handle quickly changing priorities, and be capable of managing yourself to achieve maximum results
• Strong stakeholder management with a history of building solid relationships with customers and team members
• Strong people skills, able to engage with a wide range of stakeholders at all levels
• Ability to support a working culture characterised by collaboration, continuous improvement and commitment to high performance
• Organised and meticulous, tenacious and consistent.

, * Country United Kingdom (non-London) and KGS Service Line Group Digital Lighthouse within Connected Technology KPMG Overview Joining KPMG means joining a talented team of exceptional colleagues who bring innovative thoughts and a natural curiosity to the work they do each day. No one type of person succeeds at KPMG; a diverse business requires diverse personalities, characters and perspectives. There really is a place for you here. Service Line Information Connected Technology services the broader Firm and our clients, through delivery of technology and managed services. Digital Lighthouse provides deep capability in Data Science and Engineering, Analytics, Artificial Intelligence, Intelligent Automation, UX Design and Cloud. Job Description The Role We established our team two years ago. Due to our continued success, we have a healthy, increasing demand pipeline meaning we need to grow the team further.The Big Data Engineer will work closely with customers to define and agree requirements. They will architect, design, cost and plan solutions and will support delivery teams as those solutions are implemented into live service. They will report into and support the Principal Data Architects as the team is managed on a day to day basis and strategic outcomes are delivered. They will lead and mentor junior members of the team. They will build strong networks in KPMG UK and globally. The Person

• Experience in several or all of the areas described above
• Experience in architecting, designing and implementing solutions in the Microsoft Azure stack using technologies such as Scala (Mandatory), Hive and Spark and Big Data Analytics
• Skilled in data modelling across both operational (OLTP) and analytical (OLAP) use cases
• Experience of working across end-to-end software development, technology or consulting projects (strategy, discovery, design, development and deployment)
• Experience explaining complex processes and circumstances in technical and non-technical terms to ensure all understand
• A talent for clear, concise communication and getting your point across, both verbal and in written format
• Experience in working with both Agile and Waterfall methodologies and familiarity with the benefits and risks of each
• The ability to work in a fast-paced environment with minimal supervision, handle quickly changing priorities, and be capable of managing yourself to achieve maximum results
• Strong stakeholder management with a history of building solid relationships with customers and team members
• Strong people skills, able to engage with a wide range of stakeholders at all levels
• Ability to support a working culture characterised by collaboration, continuous improvement and commitment to high performance
• Organised and meticulous, tenacious and consistent.

Keyskills :
technology servicesdata sciencedata architectsbig datamicrosoft azurecontinuous improvementsoftware developmentpeople skillsdata modelingstakeholder managementhistory