Senior Data Engineer, Portugal

CI&T; Portugal; On-site; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Paid vacation days

Paid sick time

Health & dental benefits starting day

Profit sharing

Parental leave

Career advisor

Job summary

CI&T is seeking a Senior Data Engineer to build scalable, reliable data solutions and industrialize data pipelines for the expansion into new countries and business segments. You will own data contracts with Optim-core and contribute to data architecture decisions.

The role focuses on developing dbt pipelines, migrating DuckDB workflows to PostgreSQL, and delivering high-quality analytical data to support rule compliance, in a collaborative, growth-oriented environment.

Qualifications

• Strong experience in software engineering with a focus on data engineering.
• Proficiency in Python and SQL.
• Hands-on experience with dbt and building and maintaining data transformation pipelines.
• Experience with DuckDB and PostgreSQL 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 enable scalability and maintainability.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills to translate business needs into reliable technical solutions.

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

Skills

Python

SQL

Data engineering

Analytical skills

Communication

Tools

dbt

DuckDB

PostgreSQL

Azure

Job description

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 Engineerto 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.