Senior Data Developer, Analytics Engineer

CI&T

. Actively engage with business stakeholders to understand context, challenges, and underlying needs; translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms.

Posted 7/7/2026full-timeRemote • 🇨🇴 ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in SQL and Python for data analysis and transformation, with a strong focus on data modeling and validation. Capable of delivering high-quality data solutions while effectively communicating technical concepts to non-technical stakeholders.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython ProficiencyData Modeling ExpertiseAI Data Preparation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data TransformationData ValidationData IngestionData Warehouse DesignAutomated TestingCI/CD for Data PipelinesData AnalysisData Dictionary PreparationBusiness Logic UnderstandingAnalytical Reporting

Soft Skills

Proactive MindsetOwnershipCommunicationProblem-SolvingCollaboration

Tools & Technologies

BigQueryAirbyteAirflowDbt

Industry Keywords

Supply ChainRetailConsumer GoodsGenerative AIConversational Analytics

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoPythonSQL

About the role

Key responsibilities & impact

Actively engage with business stakeholders to understand context, challenges, and underlying needs; translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms.
Take full responsibility for the data products you build — from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring.
Implement and maintain rigorous validation processes, automated testing, and quality checks; act as guardian of data accuracy and integrity, ensuring metrics and KPIs accurately reflect business reality.
Design and implement data transformation layers that pre-aggregate business information, apply consistent business rules, and deliver datasets ready for consumption in dashboards and AI applications.
Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities.
Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions.
Go beyond fulfilling requirements — proactively identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary.
Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with the highest quality standards.
Articulate technical concepts clearly to non-technical audiences; facilitate alignments, present solution proposals, and document modeling and architecture decisions.

Requirements

What you’ll need

Proven experience in a Data Engineering or Analytics Engineering role at senior level
Advanced proficiency in SQL and Python for data analysis, transformation, and validation
Solid experience in data modeling and data warehouse design
Hands-on experience working with BigQuery (or other cloud-based data warehouse platform)
Demonstrated ability to understand complex business logic and validate results from a business perspective, not just technical
Strong sense of ownership and proactive mindset — a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act
Experience specifying and preparing data requirements for AI or machine learning applications
Advanced/fluent English (reading, writing, and conversation) — constant communication with international stakeholders is required
Track record of delivering high-impact projects quickly and with quality.
Nice to Have: Experience with dbt (data build tool) for transformation and orchestration of analytical pipelines
Familiarity with data ingestion tools such as Airbyte or Airflow
Knowledge of automated testing best practices and CI/CD for data pipelines
Prior experience in Supply Chain, Retail, or Consumer Goods industries
Experience in projects involving data preparation for consumption via generative AI or conversational analytics platforms
Experience building business-oriented analytical reports (web reporting, custom visualizations)

Benefits

Comp & perks

Premium Healthcare
Meal voucher
Maternity and Parental leaves
Mobile services subsidy
Sick pay-Life insurance
CI&T University
Colombian Holidays
Paid Vacations