Data Platform Engineer

Manychat

Bellprat

Hybrid

EUR 70,000 - 100,000

Full time

14 days+
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Benefits offered by this job

Hybrid onboarding
Relocation support
Health insurance
Learning budget
Flexible benefits
Hybrid work + generous leave
Free meals and snacks
Team sports & offsites

Job summary

Manychat is seeking a Data Engineer to strengthen our data platform, build scalable pipelines, and empower global teams with reliable datasets for analytics and AI at scale.

You will work on cloud-based infrastructure, leverage tools like dbt, Dagster, and Prefect, and collaborate with Analysts and ML Scientists to advance data capabilities across the business.

Qualifications

  • Proven experience in data engineering with emphasis on platform/infrastructure.
  • Hands-on cloud/data infra experience (AWS, Snowflake, Redis).
  • Translate business needs into scalable data solutions and communicate with stakeholders.
  • Proactively track and test new data tools and tech with value addition.
  • Familiar with modern data tools: dbt, Dagster, Prefect and data catalogs.
  • Strong SQL expertise for large-scale queries and ETL/ELT pipelines.
  • Proficient in Python for data processing.
  • Solid data modeling and warehouse architecture understanding.
  • DevOps practices: Git, CI/CD, Docker/Kubernetes.

Responsibilities

  • Design, develop, and optimize data infrastructure enabling autonomous pipelines.
  • Explore and pilot new data tools while balancing innovation with stability.
  • Build scalable data pipelines to ingest, process, and deliver data company-wide.
  • Implement data quality, governance, monitoring, and security best practices.
  • Collaborate with Analysts, ML Scientists, and Engineers to deliver structured datasets.
  • Experiment with advanced data modeling to enhance platform capabilities.

Skills

Data Engineering
Platform & Infra
Communication
Learning & Adaptability
Data Tools
SQL
Python
Data Modeling
DevOps

Tools

dbt
Dagster
Prefect
Monte Carlo / Great Expectations / DataHub
SQL tooling
Docker/Kubernetes

Job description

WHO WE ARE

Manychat is a leading chat marketing platform, helping businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram. Trusted by over 1 million brands in 170+ countries, we're an official Meta Business Partner, backed by Bessemer Venture Partners. With 400+ teammates across offices in Austin, Barcelona, Yerevan, São Paulo, and Amsterdam - we're building the infrastructure of conversational commerce.

WHO WE'RE LOOKING FOR

We're looking for a motivated and impact-driven Data Engineer to join our Data team. This role is primarily focused on strengthening our data platform by designing and maintaining infrastructure and tooling to deliver greater autonomy for teams creating their own pipelines, while also contributing to implementing reliable and actionable datasets for the business. You'll be responsible for choosing and introducing new technologies where they add real value while ensuring stability in areas that already work.

If you're passionate about data, enjoy balancing pragmatism with innovation, and want to shape a platform that powers analytics and AI at global scale, this role is for you.

WHAT YOU'LL DO
  • Build and Evolve the Platform: Design, develop, and optimize data infrastructure that empower teams to build and run their own pipelines and data products.

  • Stay Ahead of the Curve: explore emerging data tools and technologies, experimenting with new approaches that could strengthen our platform, while pragmatically balancing innovation with what already works.

  • 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.

  • Innovate: Experiment with advanced data modelling and analytical techniques to improve system capabilities and create new opportunities.

WHAT YOU'LL BRING
  • Proven experience in Data Engineering, with a strong focus on platform and infrastructure.

  • Hands-on experience with cloud and data infrastructure (e.g., AWS, Snowflake, Redis).

  • Ability to translate business needs into scalable solutions and communicate effectively with both technical and non-technical stakeholders.

  • You actively follow new developments in the data ecosystem (e.g., cataloguing, observability, orchestration, cloud services) and aren't afraid to test new tools, adopting them when they provide clear value.

  • Familiarity with modern data tools such as dbt, Dagster, Prefect, along with data observability and cataloguing platforms (e.g., Monte Carlo, Great Expectations, DataHub, or similar).

  • Strong SQL expertise for large-scale querying and optimization, plus experience designing and building ETL/ELT pipelines.

  • Proficiency in Python for data processing.

  • Solid understanding of data modeling and data warehouse architectures, with the ability to design evolving data systems.

  • Experience implementing DevOps practices (e.g., Git, CI/CD, containerization with Docker/Kubernetes).

WHAT WE OFFER

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.

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