.Landis+Gyr is a leading global provider of integrated energy management solutions. We measure and analyze energy utilization to generate empowering analytics for smart grid and infrastructure management, enabling utilities and consumers to reduce energy consumption. Our innovative and proven portfolio of software, services and intelligent sensor technology is a key driver to decarbonize the grid. Having avoided more than 9 million tons of CO2 in FY 2021 and committed to achieve carbon neutrality by 2030, Landis+Gyr manages energy better – since 1896.With sales of USD 1.5 billion in FY 2021, Landis+Gyr employs around 6,500 talented people across five continents.Are you a strong, self-driven developer and can demonstrate excellent people skills? For our Global Technology Office and in the frame of a multi-year journey to cloud, we are looking for a highly motivated Data Engineer with experience in cloud and engineering platform solutions, preferably Google Cloud Platform, who can apply the latest in data engineering to help our utility clients realize the potential of big data and artificial intelligence. In partnership with multiple stakeholders, you will focus on developing and delivering leading edge data analytics solutions using Google Cloud and, as a member of our engineering practice.In this challenging and rewarding position you work in a high performing international environment and will be able to influence the overall analytics strategy within a cloud-native development approach.As Data Engineer, you will:Act as a subject matter expert in data engineering and Google Cloud data technologiesWork with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from Google CloudWork with Agile and DevOps techniques and implementation approaches in the deliveryBe required to showcase your Data Engineering experience when communicating with clients on their requirements, turning these into technical data solutionsBe required to build and deliver Data solutions using Google Cloud products and offeringsLiaise and be part of our Google Cloud practice, contributing in the knowledge exchange learning programme of the platformAbout You:Hands on and deep experience working with Google Data Products (e.G. BigQuery, Dataflow, Dataform, AI Building Blocks, Looker, etc.)Experience in MDM, Metadata Management, Data Quality and Data Lineage toolsE2E Data Engineering and Lifecycle (including non-functional requirements and operations) managementE2E Solution Design skills - Prototyping, Usability testing and data visualization literacy.Why you should join usWe offer you an exciting opportunity in an international and innovative environment at an industry leading company.You will have a robust track record of successfully delivering advanced analytics on Google Cloud Platform within cross-functional matrix environments
