[Job-32192] Senior Data Engineer - Databricks
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 3h ago.
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 3 hours ago.
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?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $93.8k–157.1k/yr
Middle 50% of 16 listings that do state pay — Engineering · Senior · Brazil · USD/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 3h ago
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 Developer with strong knowledge in developing and maintaining data pipelines in Databricks, Medallion Architecture, integrating and transforming data from various sources, such as APIs, relational databases, files, and many others!
As a senior member of the team, you will also provide technical guidance, mentor peers, and collaborate with cross-functional teams including data scientists, analysts, and platform engineers.
As a Senior Data Developer, you will lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborating closely with business and analytics teams, you will ensure high-quality deliverables that meet the strategic needs of our organization.
Your expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data, therefore driving our mission of Collaboration, Innovation, & Transformation.
Key Responsibilities
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Develop and maintain data pipelines.
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Integrate data from various sources (APIs, relational databases, files, etc.).
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Collaborate with business and analytics teams to understand data requirements.
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Ensure quality, reliability, security and governance of the ingested data.
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Follow modern DataOps practices such as Code Versioning, Data Tests and CI/CD.
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Document processes and best practices in data engineering.
Required Skills and Qualifications
Must-have Skills
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Proven experience in building and managing large-scale data pipelines in Databricks (PySpark, Delta Lake, SQL).
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Strong programming skills in Python and SQL for data processing and transformation.
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Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing.
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Hands-on experience with modern DataOps practices: version control (Git), CI/CD pipelines, automated testing, infrastructure-as-code.
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Familiarity with cloud platforms (AWS, Azure, or GCP) and related data services.
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Strong problem-solving skills with the ability to troubleshoot performance, scalability, and reliability issues.
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Proficiency in Git.
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Advanced English is essential.
Nice-to-have Skills
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Experience with data contracts, schema evolution, and ensuring compatibility across services.
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Expertise in data quality frameworks (e.g., Great Expectations, Soda, dbt tests, or custom-built solutions).
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Integration with Power BI.