About the CompanyWe 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 RoleOur 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 ForMust-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.#J-18808-Ljbffr