Senior Data Developer, Colombia

Ciandt; Colombia; A distancia; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Premium Healthcare

Meal voucher

Maternity and Parental leaves

Mobile services subsidy

Sick pay-Life insurance

CI&T University

Colombian Holidays

Paid Vacations

Descripción de la vacante

CI&T in Colombia seeks a Senior Data Developer to own the core data layer for a higher-education platform, ensuring correct, fast and well-governed data for analytics, CRM and partner apps.

You will design schemas, build Databricks pipelines (PySpark/Spark SQL) and dbt models, and manage dual-layer delivery while collaborating with North American stakeholders and nearshore teams. Strong English and SQL skills are essential.

Formación

• Fluent English (C1+) required.
• Expert SQL with performance tuning (T-SQL/ANSI).
• Experience with relational databases (SQL Server/Azure SQL or PostgreSQL).
• Hands-on Databricks, PySpark, Delta Lake and dbt experience.
• Dimensional modeling and Kimball data warehouse design.
• Git and CI/CD for database changes.

Responsabilidades

• Design, build and tune schemas, stored procedures, views and indexes.
• Lead query-plan analysis and performance work.
• Maintain Databricks pipelines and dbt models.
• Support both transactional and analytics data layers.
• Ensure data governance, quality and security.
• Collaborate with data architects and application developers.
• Mentor mid-level developers and support incident resolution.

Conocimientos

Advanced English

SQL

Relational databases

Databricks

PySpark

Delta Lake

dbt

Kimball modeling

Git & CI/CD

Herramientas

Databricks

PySpark

Delta Lake

dbt

Descripción del empleo

Senior Data Developer, Colombia

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

#LI-TO1

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.