**Responsibilities**: - Lead data teams, and guide and support decisions in terms of data strategies, architecture, modeling, and tools. - Plan and conduct Data projects. - Discovers and elicits business and data requirements. - Design and implement Data architectures on cloud or on-premises. - Develop logical data models for OLTP and OLAP processing. - Develop data pipelines for extracting, cleansing, transforming, and enhancing data. - Team-oriented attitude and the ability to work well with others to achieve a common goal. - Open to working in an agile environment as part of a scrum team. - The ability to take the initiative, drive the project and innovate. - Having a proactive attitude towards solving problems. - Good client-facing skills. **Qualifications and Experience**: - 5+ years of experience leading IT projects with at least 3+ years of relevant experience in Data Engineering. - Experience implementing ELT process and Data pipelines with Airflow or UC4. - Proficiency in a programing language: Python or C#. - Experience with SQL Server. - Strong SQL scripting experience. - Background and experience with cloud data technologies and tools. - Background and experience with data tools and technologies like: - Spark, Hadoop, Apache beam, Dataproc or similar. - BigQuery, Redshift, Snowflake or other Data warehouse tools. - Real time pipelines with Kinesis or Kafka. - Batch processing. - Serverless processing. - Good leadership and communications skills. - Experience working with distributed computing environments. - Wide experience leading teams and stakeholder management. - English level from B2.