Distributed Cloud | Analytics Engineer

• Design, develop, and maintain scalable data models that support business intelligence, analytics, and reporting needs.
• Bridge the gap between business stakeholders and technical teams by translating business requirements into reliable and actionable data solutions.
• Build, optimize, and maintain ETL/ELT pipelines to transform raw data into trusted analytical datasets.
• Develop and maintain data warehouse and data lake solutions across cloud environments (AWS, Azure, or Google Cloud Platform).
• Implement dimensional and semantic data models to enable self-service analytics and improve data accessibility.
• Ensure data quality, consistency, and governance through testing, validation, monitoring, and documentation practices.
• Collaborate with Data Engineers, Data Scientists, Business Analysts, and Product teams to deliver high-quality data products.
• Optimize SQL queries, data transformations, and reporting layers to improve performance and scalability.
• Support the development of analytical solutions, dashboards, KPIs, and business metrics.
• Contribute to the adoption of data best practices, standards, and governance frameworks.
• Create and maintain technical documentation, data lineage, and knowledge-sharing materials.
• Participate in code reviews, version control processes, and continuous improvement initiatives.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• 3+ years of experience working in Analytics Engineering, Data Engineering, Business Intelligence, or related data-focused roles.
• Strong proficiency in SQL and data modeling concepts.
• Experience designing and implementing ETL/ELT pipelines and data transformation workflows.
• Solid understanding of dimensional modeling techniques (Star Schema, Snowflake Schema, Data Vault, or similar).
• Experience working with cloud-based data platforms (AWS, Microsoft Azure, or Google Cloud Platform).
• Familiarity with modern data warehousing architectures and analytical ecosystems.
• Experience using version control systems such as Git.
• Strong analytical and problem-solving skills with the ability to understand complex business requirements.
• Excellent communication skills and ability to work with both technical and non-technical stakeholders.

Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.