Who are we looking for? If you are interested in sharpening your data engineering skills, want to dive into the world of cloud computing, and are interested in large scale analyses - we want you! What are your responsibilities? The Data Engineer’s role will be focused on working with the data engineering team and client management teams to define, develop, maintain, and scale up data solutions in support of our clients’ activities, as well as data platforms built internally by dentsu IL. The position entails ownership of the data ETL processes, including understanding of the business context, data methodologies and architecture, sanity checks, maintenance etc. Responsibilities include: Development, testing and maintenance of data pipelines and architectures in a cloud-based environment Development and implementation of data models, transformations and algorithms in support of high scale and complex digital marketing activities, including fusion of different data sources into a single data model. Working closely with our data analysts and their clients in order to identify data needs, draw up specifications, and deliver easily accessible data and insights Development of workarounds to ad hoc data and analysis problems, using “out of the box thinking” Development of internal databases using 3rd party data for integration with client data Supporting the development of dentsu IL data solution projects, including data analytics platforms for specific use cases, while working with other stakeholders in the team to support the development of the solutions. Skills and Experience 1-2 years’ hands-on experience developing and deploying data pipeline solutions with python including Flask framework. 1-2 years' hands-on experience with Google Cloud Platform, including serverless solutions such as Cloud Run and Cloud Functions, as well as different data solutions and databases (BigQuery, Cloud SQL, Firestore). Minimal experience (up to 1 year) with git solutions, such as GitHub. Requirements : Bachelor's degree in computer engineering, computer science, or equivalent - mandatory. Excellent problem solving and troubleshooting skills Fluent English (such as reading and writing technical documentation)

Who are we looking for? If you are interested in sharpening your data engineering skills, want to dive into the world of cloud computing, and are interested in large scale analyses - we want you! What are your responsibilities? The Data Engineer’s role will be focused on working with the data engineering team and client management teams to define, develop, maintain, and scale up data solutions in support of our clients’ activities, as well as data platforms built internally by dentsu IL. The position entails ownership of the data ETL processes, including understanding of the business context, data methodologies and architecture, sanity checks, maintenance etc. Responsibilities include: Development, testing and maintenance of data pipelines and architectures in a cloud-based environment Development and implementation of data models, transformations and algorithms in support of high scale and complex digital marketing activities, including fusion of different data sources into a single data model. Working closely with our data analysts and their clients in order to identify data needs, draw up specifications, and deliver easily accessible data and insights Development of workarounds to ad hoc data and analysis problems, using “out of the box thinking” Development of internal databases using 3rd party data for integration with client data Supporting the development of dentsu IL data solution projects, including data analytics platforms for specific use cases, while working with other stakeholders in the team to support the development of the solutions. Skills and Experience 1-2 years’ hands-on experience developing and deploying data pipeline solutions with python including Flask framework. 1-2 years' hands-on experience with Google Cloud Platform, including serverless solutions such as Cloud Run and Cloud Functions, as well as different data solutions and databases (BigQuery, Cloud SQL, Firestore). Minimal experience (up to 1 year) with git solutions, such as GitHub. Requirements : Bachelor's degree in computer engineering, computer science, or equivalent - mandatory. Excellent problem solving and troubleshooting skills Fluent English (such as reading and writing technical documentation)