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)
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)
Job Summary: We are seeking a highly capable and experienced HR Operations Lead to manage and scale HR processes across India and international locations, including Europe and other global entities. The role demands strong operational excellence, compliance knowledge across geographies, and hands-on experience in managing systems, employee lifecycle, payroll coordination, and vendor management in a fast-paced, multicultural environment. Key Responsibilities: HR Operations Management (India & Global) • Oversee employee lifecycle operations: onboarding, confirmations, transfers, exits, and documentation for both domestic and international teams. • Ensure smooth and compliant HR service delivery across all geographies in collaboration with internal stakeholders and external vendors (PEOs, payroll partners, etc.). • Maintain and manage employee records, HRIS data accuracy, and document control across regions. Compliance & Policy Implementation • Ensure adherence to Indian labor laws (PF, ESI, Gratuity, Shops & Establishment, POSH, etc.) and international employment regulations (including GDPR, local labor laws in EMEA/APAC). • Support internal and external audits and ensure HR policies and practices are standardized yet locally adaptable. • Draft, revise, and implement HR policies for global applicability while meeting country-specific compliance. Payroll & Benefits Coordination • Coordinate with payroll teams (internal and outsourced) to manage payroll processing, benefits administration, and statutory filings for India and international regions. • Ensure timely and accurate salary inputs, variable pay, leaves, reimbursements, and compliance deductions. HR Systems & Process Optimization • Administer and maintain HRIS platforms (Workday, SAP SuccessFactors, Darwinbox, Keka, etc.). • Drive process automation, digitization of records, and workflow standardization across locations. • Act as a liaison between HR, IT and system vendors to improve system functionalities and resolve issues. People Data, Reporting & Analytics • Generate HR dashboards and reports for leadership, including headcount, attrition, joining/leaving trends, probation tracking, and HR compliance status. • Support strategic decision-making with data-driven insights across geographies. Team & Stakeholder Management • Lead and mentor a team of HR executives/coordinators across India and support remote international teams. • Collaborate with HR, Recruitment, Finance, Legal, and other stakeholders to deliver a seamless employee experience globally. • Act as the point of contact for all escalations related to HR operations. Qualifications: • Bachelor’s or master’s degree in human resources or related field. • 5-8 years of progressive HR operations experience, with at least 2–3 years handling international operations (Europe/APAC preferred). • Strong working knowledge of Indian labor laws and familiarity with global employment practices. • Proficient in using HRIS platforms and tools; excellent in Excel, reporting, and data validation. Key Competencies: • Cross-cultural awareness and ability to work across time zones. • Strong understanding of HR compliance, operations, and systems integration. • Excellent communication, coordination, and stakeholder management skills. • Detail-oriented, process-driven, and results-focused.