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Backend Engineer

Role overview

Qualifications

  • 8+ years of relevant experience in backend engineering, automation engineering, data engineering, or a related QA/data quality role
  • B2+ English level
  • Strong Python proficiency, including hands-on experience with data analytics frameworks such as Pandas
  • Experience with distributed data transformation frameworks, specifically PySpark or Snowpark

Responsibilities

  • Design, develop, and maintain automated data validation and quality assurance frameworks for data ingestion pipelines
  • Build and implement automated integrity checks to ensure the accuracy, completeness, consistency, and reliability of ingested data
  • Identify gaps in existing data workflows and engineer scalable automation solutions to improve data quality, reliability, and operational efficiency
  • Write and optimize complex SQL queries to support data analysis, validation logic, pipeline monitoring, and data integrity checks

About the company

Monks logo

Monks

Marketing & Advertising

Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. It delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI to help the world’s trailblazing companies outmaneuver and outpace their competition.

Company details

Company typeXLarge
IndustryMarketing & Advertising
Company size5001 - 10000

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Job description

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

Senior Backend Engineer - Automation

Location: Remote fro Colombia

Contract Type: Contractor - 3 months, with possibility of extension based on project needs


.Monks Technology Services, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries.

As part of our commitment to inclusion and in compliance with Law 2466 of 2025 from Colombia, we have available spaces for people with disabilities.

About the Role

As a Senior Backend Engineer - Automation, you’ll serve as a technical pillar within our delivery teams, designing and implementing scalable automation solutions that improve data ingestion, data quality, and data integrity across client environments. You’ll work closely with clients and internal teams as a strategic technical consultant, helping define best practices, identify opportunities for optimization, and build reliable backend and data engineering solutions that support critical business workflows.

Responsibilities

  • Design, develop, and maintain automated data validation and quality assurance frameworks for data ingestion pipelines
  • Build and implement automated integrity checks to ensure the accuracy, completeness, consistency, and reliability of ingested data
  • Identify gaps in existing data workflows and engineer scalable automation solutions to improve data quality, reliability, and operational efficiency
  • Write and optimize complex SQL queries to support data analysis, validation logic, pipeline monitoring, and data integrity checks
  • Transform and process large datasets using distributed data frameworks such as PySpark or Snowpark
  • Collaborate with data engineers, analysts, client stakeholders, and cross-functional teams to define quality standards and implement automated testing strategies
  • Advise clients on automation, data engineering, and data integrity best practices, acting as a strategic partner in technical implementation decisions
  • Contribute to the continuous improvement of data pipeline tooling, processes, documentation, and engineering standards
  • Support agile delivery practices by communicating technical risks, recommendations, and progress clearly to both technical and non-technical stakeholders
  • Other duties as assigned

About You

Qualifications & Skills

  • 8+ years of relevant experience in backend engineering, automation engineering, data engineering, or a related QA/data quality role
  • B2+ English level
  • Strong Python proficiency, including hands-on experience with data analytics frameworks such as Pandas
  • Experience with distributed data transformation frameworks, specifically PySpark or Snowpark
  • Strong command of SQL and data querying patterns across relational and analytical databases
  • Proven ability to design and implement automated data validation, data integrity, and data quality checks at scale
  • Solid understanding of data ingestion patterns, pipeline architecture, data transformation, and backend system design
  • Experience working directly with clients or stakeholders, with the ability to provide strategic technical guidance and translate business needs into scalable engineering solutions
  • Excellent problem-solving, analytical, and communication skills, with the ability to operate effectively in a fast-paced, agile environment
  • Nice to have: experience with MongoDB or other document-based databases
  • Nice to have: familiarity with dbt for data transformation and modeling
  • Nice to have: experience with Snowflake as a cloud data platform
  • Nice to have: knowledge of CI/CD pipelines and DevOps practices as applied to data workflows
  • Nice to have: experience with RPA for automation tasks

.Monks Technology Services does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status

 

#LI-Remote #LI-ML1 

About Monks 

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.

 

Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

 

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us. 

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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