Senior Data Engineer

WE ARE META Portugal
Remote
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AI Summary

We are seeking a Senior Data Engineer to join our team. The role involves designing, building, and maintaining large-scale data systems. The ideal candidate will have +5 years of experience as a Data Engineer and strong skills in SQL, Python, and cloud platforms.

Key Highlights
Full-remote position based in Portugal
Career progression and growth opportunities
Health insurance and meal card benefits
Key Responsibilities
Design, build, and maintain large-scale data systems
Develop and implement data pipelines and workflows
Collaborate with cross-functional teams to drive business outcomes
Technical Skills Required
SQL Python AWS Azure GCP Databricks Snowflake
Benefits & Perks
Health insurance
Meal card
Career progression
Full-remote work

Job Description


We’re Hiring: Senior Data Engineer — Rhino, are you out there?

At WE ARE META, we connect Rhinos to projects where they can truly shine. If you are looking for growth, balance, and a team that truly supports you, this is the place for you. After all, we are experts at transforming raw talent into an unstoppable force.


Why you’ll love being part of the team:

• Cool welcome kit waiting for you 🎒

• Career progression, no corporate maze 📈

• Health insurance to keep you in hero mode 🏥

• Coverflex meal card 🍽️

• Extra perks, discounts, partnerships and good vibes 😎


What we’re looking for:

• +5 years of experience as a Data Engineer

• Strong skills in SQL, Python

• Hands on with AWS, Azure, GCP and Databricks or Snowflake

• Fluency in English at least a B2 level


Important:

This position is full-remote based in Portugal. Candidates should be based in Portugal to be considered. EU candidates are welcome if open to relocate in Portugal.


The crash is growing. Are you coming with us?


See what our Rhinos say about working with us:

https://pt.teamlyzer.com/companies/we-are-meta

https://www.glassdoor.com/Overview/Working-at-WE-ARE-META-EI_IE5882270.11,22.htm



Key Words: Databricks, Snowflake, AWS, GCP, Python, SQL


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