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Open nowPosted 83 days ago

[Job - 30340] Senior Data Developer (Analytics Engineer), Colombia

ciandt184 open roles

Where
Colombia
Work mode
Remote
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Your applicationOpen now[Job - 30340] Senior Data Developer (Analytics Engineer), Colombiaciandt · Colombia

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  5. 34.6%30 days
This job: posted 83 days ago

The posting

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 seeking a highly motivated Senior Data Developer (Analytics Engineer) who serves as a bridge between business and technology — someone who not only masters the technical stack but also brings strategic vision, deep understanding of business logic, and a proactive approach to solution design.

This professional will own the complete lifecycle of data products — from ingestion and modeling through final delivery — ensuring that data is structured, validated, and ready for consumption in AI and analytics environments. We need someone who communicates confidently with business stakeholders (both technical and non-technical), deeply understands the requirements behind requests, and translates them into robust, scalable technical solutions.

Responsibilities:

  • Business Translation & Requirements Definition: 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.
  • End-to-End Product Ownership: Take full responsibility for the data products you build — from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring.
  • Data Quality Assurance & Validation: 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.
  • Data Modeling & Transformation: 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.
  • AI Enablement & Data Structuring: Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities.
  • Full-Stack Data Development: Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions.
  • Proactive Problem Solving: Go beyond fulfilling requirements — proactively identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary.
  • Agile & High-Quality Delivery: Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with the highest quality standards.
  • Stakeholder Communication: Articulate technical concepts clearly to non-technical audiences; facilitate alignments, present solution proposals, and document modeling and architecture decisions.

Requirements:

  • 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) #LI-JP3

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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