[职位编号00027] 葡萄牙 高级分析工程师
[Job-00027] Senior Analytics Engineer, Portugal
在 CI&T,我们帮助大型企业将人工智能的潜力转化为真正的商业影响。AI 部署，AI 原生执行和技术集成商业解决方案。在技术转型方面30年的经验，我们通过 Agentic SDLC,应用现代化，数据与 AI,Martech 和商业战略方面的专业知识加速创新。我们有超过25个国家8000名 CI&T 员工，合作构建具有实际影响力的解决方案.AI 已经是我们每天工作，发展和创新的一部分。我们正在寻找一名高级分析工程师来设计，维护和发展支持商业智能和分析解决方案的数据模型。在这个角色中，你将拥有层次的 dbt 数据模型，从而实现可靠的数据消费在 Power BI 和下游应用程序上。你将发挥关键作用支持定价引擎的开发，增强物品分类和价格弹性分析，并协调各地区的 KPIs 以建立一致的数据驱动定价方法。责任 · 拥有一层式 dbt 数据模式，为 Power BI 和 下游消费者提供可靠，一致和结构良好的数据。· 根据模块化，测试，文档和维护最佳实践，使用 dbt 和 SQL 来制定和维持数据转换工作流程。· 扩大现有数据模型，以支持定价引擎 MVP,包括项目分类和价格弹性分析。· 在各地区协调业务 KPI,确保一致的定义和计算来支持共同的定价方法。· 使用 Databricks 和 Azure 构建和优化分析数据解决方案。· 应用 Python 在需要的地方支持数据处理，分析和自动化。·开发和维护 Power BI 的数据模型，使得准确的报告和有效的业务见解成为可能。·确保分析模式和下游应用程序中的数据质量，一致性和可用性。·与业务利益相关者，数据团队和区域团队合作将分析要求转化为可扩展的数据解决方案。· 贡献对数据架构，建模实践和分析工程标准的持续改进。对这一挑战的需求 · 在分析工程，数据工程或有关数据专注角色方面有丰富经验。· 高水平 SQL 熟练以及使用 dbt 的实践经验。
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At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
We are looking for a Senior Analytics Engineer to design, maintain, and evolve data models that power business intelligence and analytical solutions. In this role, you will own the layered dbt data model, enabling reliable data consumption across Power BI and downstream applications.
You will play a key role in supporting the development of a pricing engine, enhancing item categorization and price elasticity analysis, and harmonizing KPIs across regions to establish a consistent, data-driven pricing methodology.
Responsibilities
- Own and evolve the layered dbt data model, ensuring reliable, consistent, and well-structured data for Power BI and downstream consumers.
- Develop and maintain data transformation workflows using dbt and SQL, following best practices for modularity, testing, documentation, and maintainability.
- Extend existing data models to support the pricing engine MVP, including item categorization and price elasticity analysis.
- Harmonize business KPIs across regions, ensuring consistent definitions and calculations to support a common pricing methodology.
- Build and optimize analytical data solutions using Databricks and Azure.
- Apply Python where needed to support data processing, analysis, and automation.
- Develop and maintain data models for Power BI, enabling accurate reporting and effective business insights.
- Ensure data quality, consistency, and usability across analytical models and downstream applications.
- Collaborate with business stakeholders, data teams, and regional teams to translate analytical requirements into scalable data solutions.
- Contribute to continuous improvements in data architecture, modeling practices, and analytics engineering standards.
Requirements for this challenge
- Strong experience in analytics engineering, data engineering, or a related data-focused role.
- Advanced proficiency in SQL and hands-on experience with dbt.
- Experience designing and maintaining layered data models for analytics and business intelligence.
- Experience with Databricks and Azure data environments.
- Proficiency in Python for data processing, analysis, or automation.
- Experience with Power BI, particularly data modeling and preparing data for reporting and analytics.
- Strong understanding of data quality, data validation, and consistent metric definitions.
- Ability to translate business requirements into robust, reusable data models.
- Strong analytical and problem-solving skills, with attention to detail and data accuracy.
- Excellent communication and collaboration skills, including the ability to work with stakeholders across different regions.
Nice to Have
- Experience supporting pricing, revenue optimization, or commercial analytics initiatives.
- Knowledge of price elasticity, product categorization, and pricing performance metrics.
- Experience harmonizing KPIs and business definitions across regions or markets.
- Familiarity with modern data architecture and scalable analytical data platforms.
- Experience with data testing, documentation, lineage, and governance practices.
- Ability to balance technical modeling decisions with business priorities and analytical needs.
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Why join us?
- Competitive Salary
- Generous paid vacation days
- Generous sick time
- 100% paid health & dental benefits starting day one
- Annual profit-sharing distribution
- Paid parental leave
- Dedicated career advisor
And so much more…
Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.