Data Engineer AWS / GCP

Antal International Network; Barcelona; A distancia; Confidencial; Jornada completa

Descripción de la vacante

A rapidly growing organization in Conversational AI seeks a Data Engineer to design and maintain their data ecosystem. The ideal candidate has 3+ years of experience, strong SQL and Python skills, and is capable of remote work in an English-first, async-friendly team. The role involves building data pipelines, creating dashboards, and collaborating across teams, with a focus on AI-enhanced development.

Formación

• 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.

Responsabilidades

• Building and maintaining pipelines to collect, clean, and transform data.
• Ensuring data accuracy, reliability, and consistency.
• Converting raw data into scalable, analysis-ready models using SQL.
• Creating dashboards and reports using Excel and BI tools.
• Developing Python scripts to automate data workflows.
• Translating complex technical insights for non-technical teams.
• Working with AI coding assistants for development tasks.

Conocimientos

SQL

NoSQL databases

Python

Data modeling

Data visualization

Communication skills

Data architecture design

AI coding assistants

Herramientas

PostgreSQL

Firestore

MongoDB

DynamoDB

Excel

Mixpanel

HubSpot

BI tools

AWS

GCP

Descripción del empleo

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.