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Open nowPosted 9 hours ago

[Job-00028] Senior Data Engineer, Portugal

CI&T216 open roles

Where
Portugal
Work mode
Remote
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Your applicationOpen now[Job-00028] Senior Data Engineer, PortugalCI&T · Portugal
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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. CI&T postings stay open a median of 4 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted 9 hours ago

CI&T median: 4 days open

The posting

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.

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