About Company: A German brand that holds leading positions in both industrial and consumer businesses.

Tasks:

1) Affiliation of scalable and responsive cloud-based Web application using state-of-the-art frontend engineering practices by:

• Designing a technical concept, coding, testing and documentation according to the backlog item based on AngularJS and TypeScript
• Developing and implementing test scenarios with Cypress
• Translation of UI/UX design wireframes to actual code, by developing web user interface components and related tests
• Designing and testing of APIs
• Developing CI/CD build pipelines for the developed web components and takes actions to keep code/systems stable and efficient
• Testing including unit and integration tests, in case of identified bugs or issues the task is to rework it from step 1. The documentation will be done in Azure DevOps / ServiceNow.

2) Identify, design, and implement product improvements for the project related tasks according to the discussed backlog.

3) Documentation of technical implementation and related processes in Azure DevOps.

English level from B2 is required.

We are looking for an experienced Office365 Support Engineer to join a support team, dedicated to a life science project. Join a team working with a multinational company on a flexible work schedule.

An Office365 Support Engineer is responsible for assisting internal company employees and providing support via Microsoft Teams and ServiceNow, your core responsibilities will include:

• User Support: Offer prompt and effective support to internal employees encountering Office365-related issues via various channels, including Microsoft Teams and ServiceNow.
• Issue Resolution: Diagnose and troubleshoot technical issues within the Office365 environment, addressing problems related to SharePoint, Office365 Administration, Teams, and Azure AD.
• Documentation: Maintain comprehensive documentation of Office365 configurations, procedures, and issue resolutions for reference and knowledge sharing.
• Daily Team Meetings: Actively participate in daily team meetings to stay informed on internal company IT policy changes, share updates on support activities, and foster effective communication within the team.
• Educate Users: Offer user training and guidance regarding Office365 applications.

What we expect:

• 2-4 years of hands-on experience with Office365 administration and support.
• Proficient with SharePoint, OneDrive, Exchange, Teams, and Azure Active Directory.
• Experienced with Sharepoint sites migration.
• Experienced with Powershell scripting.
• Strong investigation and diagnostic abilities.
• Excellent communication and user training skills.
• Excellent written and verbal skills in English and Japanese (upper-intermediate or higher).

Nice to have:

• Familiarity with Life Sciences
• Knowledge and experience of ServiceNow would be beneficial.
• Have hands-on experience with PowerApps to create custom business apps within Office365.
• Experience with ServiceNow for seamless integration with Office365
• Good understanding of ITIL processes

The project, a platform for creating and publishing content on social media using artificial intelligence tools, is looking for a Lead Data Engineer.

Responsibilities:

- Design, develop, and maintain robust and scalable data pipelines for collecting, processing, and storing data from diverse social media sources and user interactions.

- Design of data warehouse.

- Implement rigorous data quality checks and validation processes to uphold the integrity.

accuracy, and reliability of social media data used by our AI models.

- Automate Extract, Transform, Load (ETL) processes to streamline data ingestion and transformation, reducing manual intervention and enhancing efficiency.

- Continuously monitor and optimize data pipelines to improve speed, reliability, and scalability, ensuring seamless operation of our AI Assistant.

- Collaborate closely with Data Scientists, ML Engineers, and cross-functional teams to understand data requirements and provide the necessary data infrastructure for model development and training.

- Enforce data governance practices, guaranteeing data privacy, security, and compliance with relevant regulations, including GDPR, in the context of social media data.

- Establish performance benchmarks and implement monitoring solutions to identify and address bottlenecks or anomalies in the data pipeline.

- Collaborate with data analysts and business teams to design interactive dashboards that enable data-driven decision-making.

- Develop and support data marts and dashboards that provide real-time insights into social media data.

- Stay updated with emerging data technologies, tools, and frameworks, evaluating their potential to improve data engineering processes.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

- Proven experience in data engineering, focusing on ETL processes, data pipeline development, and data quality assurance.

- Strong proficiency in programming languages such as Python, SQL and knowledge of data engineering libraries and frameworks.

- Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or Google Cloud.

- Familiarity with DataOps principles and Agile methodologies.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Knowledge of data governance and data privacy regulations is a plus.