Senior Data Engineer
Quick Summary
100% remote. Location: Colombia. The SAMY MindsetForget the job description for a second. The real question is: are you a Path Finder? Bold enough to challenge what's possible.
We weren't built to follow, we were built to lead.
SAMY is the global powerhouse redefining brand communication for a social-first world—helping brands stay relevant, shape culture, and build real connections at the speed the world moves. Since 2013, we've grown from a bold idea into a global force: 1,200+ experts, 17+ offices, 55 markets, 22+ countries. We launch 40+ campaigns a week, create one piece of content every minute, and generate +$500K in revenue every day.
We are Path Finders: curious, ambitious, and never afraid to challenge what's next.
We don't play it safe. We build what's next.
Instagram | TikTok | Culture page
We are looking for a Senior Data Engineer to design, build, and optimize scalable data solutions that enable business decision-making. This role will be responsible for developing and maintaining data pipelines, ETL/ELT processes, and data models while ensuring data quality, availability, and performance within the Google Cloud Platform ecosystem.
Responsibilities
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Develop and optimize complex SQL queries for data transformation and analysis.
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Design and maintain Data Warehouse models.
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Develop Python scripts to ingest data from APIs.
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Automate data ingestion, transformation, and validation processes.
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Manage and optimize large datasets using Google BigQuery.
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Integrate multiple data sources using tools such as Fivetran, Supermetrics, or similar platforms.
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Ensure data quality, consistency, and reliability across data pipelines.
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Collaborate with Analytics, BI, and Engineering teams to deliver scalable data solutions.
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Identify opportunities to improve data architecture, performance, and operational efficiency.
Requirements
~1 min read5+ years of experience as a Data Engineer or in a similar role.
Strong hands-on experience with Google BigQuery.
Advanced SQL skills, including complex transformations and query optimization.
Experience developing Python scripts for API integrations and data ingestion.
Solid experience designing and maintaining ETL/ELT pipelines.
Experience with data integration tools such as Fivetran, Supermetrics, or similar.
General knowledge of the Google Cloud Platform (GCP) ecosystem, particularly data storage and processing services.
Strong understanding of Data Warehousing concepts.
Experience with dimensional data modeling, including Star Schema, Snowflake Schema, fact tables, and dimension tables
What We Offer
~2 min readLocation & Eligibility
Listing Details
- First seen
- September 25, 2026
- Last seen
- September 25, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- September 25, 2026
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