[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.

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