[Job-32044] Senior Data Developer, Colombia
At a glance
Senior Data Engineering role at CI&T. Remote, Colombia.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Design and tune database structures and routines, using query plans to find and address performance problems
- Build Databricks data pipelines and dbt models with PySpark or Spark SQL, following Kimball dimensional design
- Maintain both application SQL systems and analytics lakehouse models for program, student and enrollment information
- Apply access controls, lineage tracking, quality checks and reconciliation while protecting personal data through masking and row-level rules
- Deploy database updates through Git and CI/CD, review SQL, document operations, handle incidents and coach mid-level developers
What you bring
- You communicate in English at an advanced level, C1 or higher
- You bring expert SQL skills across stored procedures, window functions, CTEs, indexes and execution plans
- You have production experience with Databricks, PySpark, Delta Lake and dbt, plus relational database experience
- You understand Kimball modeling and warehouse design, and have used Git, CI/CD for database changes and Jira
Who this fits
This role suits a senior hands-on developer who can take uncertain data challenges through to production and make independent modeling and performance decisions. You'll coordinate with stakeholders in North America and colleagues in Brazil and Colombia, with strong overlap during US business hours. The role includes mentoring mid-level developers and discussing technical trade-offs with client architects.
From the employer
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.
This role combines deep hands-on data engineering with technical ownership of a critical data layer. The Senior Data Developer will own the relational and lakehouse data behind a higher-education platform's program, student and enrollment data. That data has to be correct, fast and well governed, so that analytics, CRM and partner-facing applications can trust it. Success depends on taking ambiguous data problems from analysis to production on your own, making sound performance and modeling trade-offs, and keeping a high quality bar across the team.
Responsibilities:
Database Development: Design, build and tune schemas, stored procedures, views, functions and indexes. Lead query-plan analysis and performance work.
Lakehouse Engineering: Build and maintain Databricks pipelines (PySpark / Spark SQL) and dbt models using Kimball dimensional modeling.
Dual-Layer Delivery: Support both the transactional SQL databases used by applications and the lakehouse models used for analytics.
Data Governance & Quality: Manage data access and lineage in Unity Catalog. Implement quality checks and source-to-target reconciliation, and protect sensitive personal data (masking, row-level access).
Engineering Practices: Version database changes in Git, deploy through CI/CD, and review peers' SQL.
Knowledge Transfer & Operations: Take over existing schemas and jobs from previous teams without disrupting production. Document data models and runbooks, and support incident resolution and root-cause analysis.
Collaboration: Work with the Data Architect on modeling standards, and with application developers on API and data contracts.
Mentorship: Mentor mid-level developers and explain technical trade-offs to client architects.
Nearshore Delivery: Work with North American stakeholders and teams in Brazil and Colombia, keeping strong overlap with US business hours.
Requirements:
Advanced/fluent English (C1 or above)
Expert SQL (T-SQL and/or ANSI), including stored procedures, window functions, CTEs, indexing and execution plans
Solid experience with relational databases (SQL Server / Azure SQL preferred, or PostgreSQL or similar)
Hands-on production experience with Databricks, PySpark, Delta Lake and dbt
Solid experience with dimensional modeling (Kimball) and data warehouse design
Experience with Git, CI/CD for database changes and Jira
Nice to have:
Unity Catalog administration
Databricks certification (Data Engineer Associate / Professional)
Experience with orchestration and ingestion tools (Databricks Workflows, Airflow, ADF, Fivetran)
Experience with data quality frameworks (Great Expectations, dbt tests)
Exposure to BI tools (Power BI or Tableau)
Experience with regulated data (education, healthcare or privacy regulations such as LGPD)
Familiarity with AI-assisted development and agentic coding
Our benefits include: - Premium Healthcare - Meal voucher - Maternity and Parental leaves - Mobile services subsidy - Sick pay-Life insurance - CI&T University - Colombian Holidays - Paid Vacations And many others. 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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