Are you a person with passion for data? Are you interested in working in a multilingual, dynamic and friendly environment that encourages personal and professional development? We would love to meet you!

As a Data Team Lead, you will oversee and guide a team of data professionals responsible for managing and optimizing data assets within GEM. Your role will involve leading the development and implementation of data management practices, ensuring data quality, availability, and governance, and supporting data-driven decision-making across the organization. You will provide leadership, mentorship, and foster a collaborative environment to ensure the efficient delivery of data projects and continuous improvement in data management processes.

 What does your typical day look like?

• Lead the development, implementation, and maintenance of data management practices, ensuring the organization's data assets are reliable, accessible, and secure.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable and efficient data solutions that support business objectives.
• Ensure data quality, integrity, and consistency across the organization by implementing robust data governance frameworks and processes.
• Lead data management projects, setting priorities, allocating resources, and ensuring the timely delivery of high-quality solutions that meet project goals, budgets, and deadlines.
• Monitor team members’ workloads to ensure an equitable distribution of tasks. Adjust assignments as needed to maintain a balanced workload.
• Lead a team of data professionals by providing technical guidance, mentorship, and fostering a collaborative and high-performance work environment.

What skills and experience are we looking for?                 

• Bachelor’s degree in computer science, Information Systems, Data Management, or a related field. An advanced degree is preferred.
• Proven experience (10 years) in data management, data governance, and data integration.
• Experience using the following software/tools:
• Relational and NoSQL databases (e.g., MS SQL Server, Snowflake, PostgreSQL, MariaDB).
• Cloud platforms (Azure preferred) and cloud-based data services.
• Data modeling and transformation tools like DBT.
• ETL tools such as Azure Data Factory, Airflow, or Informatica.
• Knowledge of APIs and data integration strategies.
• Relevant certifications in Azure Data Services or Snowflake are a plus.

• Global Excel offers more than a position;
• We offer a professional future with a competitive compensation including base salary, performance bonus and benefits;
• Please reach out to your local HR department if you would like to know more about benefits offered in your site. 

To get a taste of the Global Excel life and for more information on our company, visit our Facebook page and website: