(Senior) Data Engineer

Manychat; Barcelona; Híbrido; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading Chat Marketing platform in Barcelona is seeking a motivated Data Engineer to design and optimize data pipelines, ensuring data quality and collaboration with Analysts and ML Scientists. This hybrid role offers comprehensive health insurance, professional development budgets, and support for relocation. Ideal for strong mid-level engineers to seasoned leads.

Servicios

Hybrid onboarding

Comprehensive health insurance

Professional development budget

Flexible benefits package

Hybrid work

In-office perks

Company-funded sport activities

Formación

• Proven experience in Analytics Engineering, Data Engineering or a related role.
• Ability to translate complex business requirements into scalable data models.

Responsabilidades

• Design and develop scalable data pipelines that ingest and process data.
• Implement monitoring and governance for data quality and security.
• Manage and improve data infrastructure to support analytics and ML use cases.

Conocimientos

SQL

Python

Data modeling

Data warehouse architecture

Analytics Engineering

ETL pipelines

Cloud infrastructure

DevOps frameworks

Herramientas

Snowflake

AWS

Docker

Kubernetes

Descripción del empleo

Manychat is a leading Chat Marketing platform. We help businesses engage with their customers on Instagram, TikTok, Facebook Messenger, WhatsApp, and more.

Trusted by over 1 million brands in 170+ countries, we're an official Meta Business Partner, backed by top investors, including Summit Partners and BVP.

With 300+ teammates across international offices in Austin, Barcelona, Yerevan, São Paulo, and Amsterdam — Manychat helps creators and businesses across the globe grow faster, engage better and sell more on social and messaging apps.

We’re looking for a motivated and impact-driven Data Engineer to join our Data team and make data accurate, reliable, and usable across Manychat. This role is open to different levels of seniority from strong mid-level engineers to seasoned leads. This role is about transforming complex, changing, and fragmented data into trusted datasets that power Analytics, AI, and product innovation.

If you’re passionate about data and solving complex problems at scale, this role is for you. You’ll collaborate cross-functionally with Analysts, ML Scientists, and Engineers, experiment with modern technologies, and design data flows that enable decision-making and innovation for millions of creators, influencers, and brands worldwide.

• Build Scalable Pipelines: Design, develop, and optimize data pipelines that ingest, process, and deliver reliable data across the company.
• Ensure Data Quality & Security: Implement monitoring, governance, and best practices to keep our systems accurate, performant, and compliant.
• Collaborate & Enable: Partner with Analysts, ML Scientists, and Engineers to deliver structured datasets to unlock new insights.
• Evolve Our Data Platform: Manage and improve our data warehouse and infrastructure to support analytics, AI, and ML use cases at scale.
• Innovate: Experiment with advanced data modelling and analytical techniques to improve system capabilities and create new opportunities.
• Proven experience in Analytics Engineering, Data Engineering or a related role.
• Strong experience with SQL for querying and optimization of large datasets, including designing and building ETL pipelines at scale.
• Strong proficiency in Python for data processing.
• Strong understanding of data modeling and data warehouse architecture, and the ability to design evolving data systems.
• Ability to translate complex business requirements into scalable, well-structured data models and high-quality datasets that enable analytics, reporting, and data-driven decision making.
• Ability to clearly communicate complex concepts with both technical and non-technical stakeholders.
• Experience with cloud and data infrastructure (e.g., Snowflake, AWS, Redis).
• Experience working closely with Analysts and ML specialists.
• Familiarity with DevOps frameworks and tools (e.g., Git, CI/CD, Documentation).
• Knowledge of containerization (e.g., Docker) and/or experience with Kubernetes is a plus.

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success. With my application, I accept the ManychatPrivacy Policy.