资深数据工程师，葡萄牙

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.

#LI-GP1

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.