[Job-00028] Senior Data Engineer, Portugal

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 Data Engineer to help build scalable, reliable, and reusable data solutions. In this role, you will focus on industrializing data pipelines, strengthening data contracts, and delivering high-quality analytical data to support rule compliance. You will play a key role in evolving the data infrastructure, replacing interim solutions with production-ready pipelines, and enabling efficient onboarding of new countries and business segments. Responsibilities - Industrialize and optimize dbt pipelines, migrating data workflows from DuckDB to PostgreSQL and retiring interim PowerQuery solutions. - Own the versioning of scope and constraints, ensuring consistency, traceability, and reliability across data processes. - Define and maintain data contracts with Optim-core, ensuring the availability and quality of analytical data required for rule compliance. - Build reusable and scalable onboarding processes to support the expansion into new countries and business segments. - Develop and maintain data transformation workflows using Python, SQL, dbt, and PostgreSQL. - Contribute to data architecture decisions, pipeline reliability, and engineering best practices. - Collaborate with cross-functional teams to ensure data solutions meet business and technical requirements. Requirements for this challenge - Strong experience in software engineering, with a focus on data engineering or data-intensive applications. - Proficiency in Python and SQL. - Hands-on experience with dbt and building and maintaining data transformation pipelines. - Experience working with DuckDB and PostgreSQL, including data migration and query optimization. - Experience with Azure cloud environments. - Understanding of data modeling, data quality, versioning, and data contracts. - Ability to design reusable solutions that support scalability and maintainability. - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills, with the ability to translate business needs into reliable technical solutions. Nice to Have - Experience migrating data workflows from interim tools to production-ready architectures. - Familiarity with data governance, lineage, and data quality practices. - Experience building reusable data processes for multiple countries, markets, or business segments. - Experience integrating analytical data pipelines with downstream platforms or optimization engines. 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. Originally posted on Himalayas