About the Company
We are partnering with a rapidly growing organization in the Conversational AI space. They help businesses strengthen customer relationships through WhatsApp and AI-powered communication, enabling marketing, sales, and customer success teams to connect in a more direct, personal, and impactful way.
Their culture is grounded in four core principles: passion for innovation, a strong customer-first mindset, collaborative teamwork, and an entrepreneurial drive focused on real results.
About the Role
Our client is looking for a Data Engineer who will play a key role in designing and maintaining the data ecosystem that powers their product and business decisions.
You will be involved in:
Data Engineering & Management
* Building and maintaining pipelines to collect, clean, and transform data from multiple sources (PostgreSQL, Firestore, MongoDB, DynamoDB, etc.).
* Ensuring data accuracy, reliability, and consistency.
Data Modeling & Transformation
* Converting raw data into scalable, analysis-ready models using SQL and frameworks like dbt.
* Supporting business teams with well-structured datasets.
Analytics & Reporting
* Creating dashboards and reports using Excel, Mixpanel, HubSpot, and BI tools.
* Documenting metrics and ensuring alignment across departments.
Automation & Scripting
* Developing Python scripts to automate data preparation, validation, and reporting workflows.
Stakeholder Collaboration
* Translating complex technical insights into clear, actionable recommendations for non-technical teams.
AI-Enhanced Development (Vibe Coding)
* Working extensively with AI coding assistants to generate, refactor, and maintain production‑ready code (approx. 75% AI‑assisted development).
* Focusing on architecture, orchestration, and code review.
* Designing effective prompts, validating AI‑generated code, and ensuring compliance with performance and security guidelines.
* Contributing to the evolution of internal best practices for human–AI collaboration.
What We're Looking For
Must-Haves
* 3+ years of experience as a Data Engineer or similar role.
* Strong knowledge of SQL and NoSQL databases.
* Proficiency in Python for automation and data processing.
* Experience with data modeling, cleaning, and visualization.
* Strong communication skills for cross‑functional collaboration.
* Ability to design scalable data architectures.
* Comfortable working remotely in an English‑first, async‑friendly team.
Nice-to-Haves
* Experience with AWS or GCP (S3, Redshift, Glue, Lambda, QuickSight, etc.).
* Ability to establish best practices for scalable, maintainable data infrastructure.
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