Data Engineer

YouGov

. Build and maintain foundational data infrastructure for company-wide decision-making .

Posted 10/22/2026full-timeRemote • Mexico, BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining data infrastructure, optimizing data pipelines, and ensuring data quality and integrity. Proficient in Python, SQL, and cloud-based data systems, with a strong understanding of data architecture and engineering principles.

Highest-signal resume keywords

Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyExperience With AirflowData Architecture Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData ModelingData WarehousingCloud Systems OptimizationData Validation FrameworksKubernetes ExperienceContainerizationData File FormatsData Engineering Principles

Soft Skills

Analytical SkillsCritical ThinkingTeam CollaborationWritten CommunicationVerbal Communication

Tools & Technologies

AWS ProductsAirflowSnowflakeRedshiftBigQueryDBTPower BITableauApache SupersetR

Industry Keywords

Data InfrastructureWorkflow OrchestrationInfrastructure As CodeData QualityData Integrity

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSBigQueryCloudKubernetesNoSQLPythonSQLTableau

About the role

Key responsibilities & impact

Build and maintain foundational data infrastructure for company-wide decision-making
Ingest, transform, and model data
Maintain a centralized data warehouse with clean, reliable, and accessible data
Design, develop, and maintain scalable data pipelines using Python and Airflow
Collaborate with Analytics Engineers and other team members to deliver well-modeled data
Implement monitoring, logging, and alerting for pipeline reliability and performance
Ensure data quality and integrity through validation frameworks and testing
Optimize performance and cost-efficiency of cloud-based data systems
Contribute to architectural decisions involving data storage, workflow orchestration, and infrastructure as code
Document data pipelines and processes

Requirements

What you’ll need

Bachelor’s degree in computer science or related field
Proven years of experience in a Data Engineering or Software Engineering role
Very good knowledge of Python and experience with SQL
Experience with Kubernetes and containerization
Experience with Airflow or similar process orchestration tool
Familiarity with modern data file formats (Parquet, ORC, JSON)
Experience with data architecture, modelling, and pipelines in an enterprise data warehouse (Snowflake, Redshift, BigQuery)
Experience with AWS products (S3, Lambda, Athena)
Ability to work independently and in a team-oriented environment
Strong analytical skills with a critical thinking attitude
Demonstrable experience as a software or data engineer
Good understanding of data architecture and engineering principles
Great written and verbal communication skills
Ability to embrace YouGov values
Preferred: experience with a data transformation tool such as DBT
Preferred: experience with NoSQL and Graph Database technologies
Preferred: familiarity with data reporting software (Power BI, Tableau, Apache Superset)
Preferred: experience with R

Benefits

Comp & perks

Best-in-class benefits supporting physical, financial, and emotional wellbeing
Supportive workplace promoting belonging and uniqueness
Equal opportunity employment