[Job-00028] Senior Data Engineer, Portugal
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-10-09). Last seen at its source just now.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Portugal
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €85k–125k/yr
Middle 50% of 13 listings that do state pay — Engineering · all levels · Portugal · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Lever employer's own board first seen 1d ago · last seen just now
The listing
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.