Senior Data Engineer - Databricks

Ciandt; Brazil; Remote; BRL 260,000 - 420,000; Full time

Benefits offered by this job

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Gym partnerships

Profit Sharing

Life insurance

Continuous learning platform

Discount club

Well-being platform access

Parenting courses

Language learning platform

Job summary

CI&T is seeking a Senior Data Engineer to design and maintain robust data pipelines using Databricks, PySpark, and Delta Lake. You will integrate data from APIs, databases, and files while collaborating with data scientists, analysts, and engineers to meet business needs.

You will ensure data quality, governance, and security, applying modern DataOps practices and writing clear documentation. Advanced English is required for cross‑functional collaboration.

Qualifications

• Proven experience in building and managing large-scale data pipelines in Databricks.
• Strong programming in Python and SQL for data processing and transformation.
• Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing.
• Hands-on DataOps: version control, CI/CD, automated testing, IaC.
• Cloud platforms (AWS, Azure, or GCP) and data services.
• Strong problem-solving for performance, scalability, and reliability.
• Advanced English is essential.

Responsibilities

• Develop and maintain data pipelines.
• Integrate data from APIs, relational databases, and files.
• Collaborate with business and analytics teams to understand data requirements.
• Ensure quality, reliability, security and governance of ingested data.
• Follow DataOps practices: versioning, tests, CI/CD.
• Document processes and best practices in data engineering.

Skills

Databricks

PySpark

Delta Lake

SQL

Python

ETL/ELT

Data warehousing

DataOps

Git

CI/CD

AWS

Azure

GCP

Advanced English

Tools

Git

Job description

Senior Data Engineer - Databricks

Brazil

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

• Develop and maintain data pipelines.

• Integrate data from various sources (APIs, relational databases, files, etc.).

• Collaborate with business and analytics teams to understand data requirements.

• Ensure quality, reliability, security and governance of the ingested data.

• Follow modern DataOps practices such as Code Versioning, Data Tests and CI/CD.

• Document processes and best practices in data engineering.

Required Skills and Qualifications

Must-have Skills

• Proven experience in building and managing large-scale data pipelines in Databricks (PySpark, Delta Lake, SQL).

• Strong programming skills in Python and SQL for data processing and transformation.

• Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing.

• Hands-on experience with modern DataOps practices: version control (Git), CI/CD pipelines, automated testing, infrastructure-as-code.

• Familiarity with cloud platforms (AWS, Azure, or GCP) and related data services.

• Strong problem-solving skills with the ability to troubleshoot performance, scalability, and reliability issues.

• Proficiency in Git.

• Advanced English is essential.

Nice-to-have Skills

• Experience with data contracts, schema evolution, and ensuring compatibility across services.

• Expertise in data quality frameworks (e.g., Great Expectations, Soda, dbt tests, or custom-built solutions).

• Integration with Power BI.

Our benefits:

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
• Profit Sharing and Results Participation (PLR);
• Life insurance
• Continuous learning platform (CI&T University);
• Discount club
• Free online platform dedicated to physical, mental, and overall well-being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms
• Language learning platform And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.