Senior Data Engineer

About the opportunity

For an International Institution in Geneva, we are urgently looking for an experienced Senior Data Engineer preferably with Azure experience in Geneva or Full remote.As Senior Data Engineer, you work with the Cloud Architect, Data Architect, Solution Engineer and other technical professionals to act as technical focal point for the development of prototypes, providing advice and technical feasibility view, and other technical activities to ensure the Cloud data Platform architecture and technical configuration will address business and IT objectives. Candidates need to be fluent in English. This positions is long-term. Work permit not required.Candidates need to be based in Europe. Tasks and Responsibilities: Plan the activites and concrete milestones to deliver the new Cloud Data Platform Architecture; Lead the development and technical implementation aligned to the Data Platform Architecture; Provide expertise and technical advice in the development of conceptual, logical and physical data models, in support of interoperability protocols, API design and management, cybersecurity aspects and business intelligence; Create the data factory pipelines to ingest data, apply data transformations to curate data using databricks, and make data available for downstream applications (API) or reporting from SQL database, Cosmos DB or Synapse Analytics; Automation and development lifecycle control by development of rbooks, fctions, devops projects, sync to repos, ARM templates and Azure Blueprints; Working with the Senior Solution Engineer derstand and catalogue the current landscape of Data and systems; Develop and maintain the to-be Cloud Data Platform with the required capabilities in conformance with security requirements, agreements-based, with user-driven configuration and through documented design and configuration; Provide technical expertise regarding short terms solution options to leverage in the immediate future to meet urgent data related demands, with consideration of the organization’s wider needs and the potential of deploying enterprise data solution platforms at the enterprise level; Provide data insights and best practices, ensuring they are reflected in the development; Profile: Bachelor or Master degree; +5 years of relevant experience as Data Engineer; Experience with modern Data technologies such as Business Intelligence, Analytics, AI, and Big Data; Experience programming multiple languages, e.g. Phyton, R, Java, Scala, etc; Professional level vendor certifications, such as Microsoft, ITIL, and others; Extensive experience with Microsoft Azure and other cloud technologies and interoperable solutions,experience as a data analyst, engineer and developer; Demonstrated experience in the design, development, and implementation of various integrations between diverse infrastructure services, data models and architecture; Demonstrated experience with the IT systems development life cycle (SDLC), as well as Agile/Scrum methodologies and ITIL processes; Ability to conduct requirements gathering, interpret needs, and design solutions and manage expectations; Professional experience in technical design and support of global, distributed corporate information systems; Understanding state of Azure, Google and AWS components and reference architectures; Experience in designing for Bigdata/data warehousing/business intelligence/reporting solutions for various physical environments, both on-premises as well as in the Microsoft cloud, while influencing for the most efficient approach based on business requirements; Excellent written and spoken English; Interested: Please send your resume to:vacature@talent40.com

Responsibilities

• : Plan the activites and concrete milestones to deliver the new Cloud Data Platform Architecture; Lead the development and technical implementation aligned to the Data Platform Architecture; Provide expertise and technical advice in the development of conceptual, logical and physical data models, in support of interoperability protocols, API design and management, cybersecurity aspects and business intelligence; Create the data factory pipelines to ingest data, apply data transformations to curate data using databricks, and make data available for downstream applications (API) or reporting from SQL database, Cosmos DB or Synapse Analytics; Automation and development lifecycle control by development of rbooks, fctions, devops projects, sync to repos, ARM templates and Azure Blueprints; Working with the Senior Solution Engineer derstand and catalogue the current landscape of Data and systems; Develop and maintain the to-be Cloud Data Platform with the required capabilities in conformance with security

Qualifications

• , agreements-based, with user-driven configuration and through documented design and configuration; Provide technical expertise regarding short terms solution options to leverage in the immediate future to meet urgent data related demands, with consideration of the organization’s wider needs and the potential of deploying enterprise data solution platforms at the enterprise level; Provide data insights and best practices, ensuring they are reflected in the development; Profile: Bachelor or Master degree; +5 years of relevant experience as Data Engineer; Experience with modern Data technologies such as Business Intelligence, Analytics, AI, and Big Data; Experience programming multiple languages, e.
• Phyton, R, Java, Scala, etc; Professional level vendor certifications, such as Microsoft, ITIL, and others; Extensive experience with Microsoft Azure and other cloud technologies and interoperable solutions,experience as a data analyst, engineer and developer; Demonstrated experience in the design, development, and implementation of various integrations between diverse infrastructure services, data models and architecture; Demonstrated experience with the IT systems development life cycle (SDLC), as well as Agile/Scrum methodologies and ITIL processes; Ability to conduct
• gathering, interpret needs, and design solutions and manage expectations; Professional experience in technical design and support of global, distributed corporate information systems; Understanding state of Azure, Google and AWS components and reference architectures; Experience in designing for Bigdata/data warehousing/business intelligence/reporting solutions for various physical environments, both on-premises as well as in the Microsoft cloud, while influencing for the most efficient approach based on business