Senior Data Engineer

• Serve as the liaison between business and technical teams.
• Lead stakeholder meetings and translate business needs into data solutions.
• Gather requirements and align strategic objectives with technology solutions.
• Define and design robust, scalable, and integrated data architectures.
• Develop and implement solutions for processing and integrating large volumes of data.
• Build and orchestrate data pipelines using Azure Data Factory.
• Develop reports and dashboards to support decision-making.
• Develop backend services using Java and Python.
• Propose solutions focused on data quality, performance, and governance.
• Participate in projects to modernize and transform cloud data platforms.
• Collaborate with multidisciplinary teams in agile, AI-enabled environments.

• Serve as the point of contact between business and technical teams, leading stakeholder meetings and translating business needs into data solutions.
• Experience understanding and gathering requirements, promoting alignment between strategic objectives and technology solutions.
• Experience defining and designing robust, scalable, and integrated data architectures.
• Strong experience with Microsoft Azure platforms and their Analytics and Database components.
• Advanced knowledge of Databricks; certification is a plus.
• Experience with Azure Data Factory, including building and orchestrating data pipelines.
• Experience developing and implementing solutions for processing and integrating large volumes of data.
• Knowledge of Business Intelligence, Data Warehouse, and Analytics environments.
• Experience developing reports and dashboards to support decision-making.
• Proficiency in Python, SQL, and object-oriented programming concepts.
• Experience with Oracle databases.
• Knowledge of developing services using Java and Python (backend services).
• Experience working in AI-enabled delivery environments using tools such as GitHub Copilot.
• Experience with agile methodologies such as Scrum and Kanban.
• Ability to propose innovative solutions focused on quality, performance, and data governance.
• Experience with cloud data platform modernization and transformation projects.
• Proactive and self-directed approach to managing requests and solving problems.
• Strong analytical skills and strategic vision.
• Ability to understand complex scenarios and transform them into practical solutions.
• Strong collaboration skills in multidisciplinary teams.
• Excellent verbal and written communication skills.
• Ownership mindset and commitment to high-quality deliverables.
• Continuous pursuit of innovation and improvement.
• Resilience in the face of technical and business challenges.

• Flexible benefits card – choose how and where to use it.
• Tuition assistance for undergraduate, graduate, MBA, and language courses.
• Certification incentive programs.
• Flexible working hours.
• Competitive salaries.
• Annual performance review with a structured career development plan.
• International career opportunities.
• Wellhub and TotalPass.
• Private pension plan.
• Childcare assistance.
• Medical insurance.
• Dental insurance.
• Life insurance.