At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.

Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.

We are seeking a Senior Data Engineer to accelerate our healthcare client's Business Data Architecture modernization. This role is hands-on and delivery-focused: you will design and build scalable ingestion and transformation pipelines across a centralized Medallion architecture (Bronze/Silver/Gold) on Google Cloud Platform (GCP) using BigQuery, dbt, and Fivetran, along with custom API-based connectors where needed.

You will work closely with internal platform leadership and domain stakeholders to create a governed “data factory” that reduces metric drift, improves auditability, and accelerates time-to-insight through reliable, monitored pipelines and code-based metric definitions.

Workplace:  This is a remote role open to candidates based in Argentina only

What You’ll Do:

• Pipeline Engineering & Delivery
  • Design, implement, and maintain robust ELT pipelines into BigQuery using Fivetran and custom API-based connectors
  • Build and operationalize bronze, silver, and gold data layers supporting enterprise analytics
  • Develop and manage dbt models, transformations, and orchestration workflows
  • Implement orchestration using Cloud Composer (Managed Airflow) for scheduling, dependency management, and pipeline coordination
• Data Quality, Validation, and Observability
  • Implement automated data validation, reconciliation, and testing frameworks
  • Build logging, monitoring, error handling, and alerting frameworks for data pipelines
  • Optimize BigQuery performance using partitioning, clustering, and cost tuning
• Security, Governance, and Access Controls
  • Define and implement IAM roles, data access policies, and AD group structures
  • Apply data classification, governance, and lineage standards
  • Ensure traceability and auditability through version control and structured deployment practices
• Platform Engineering & Delivery Enablement
  • Contribute to CI/CD workflows using GitHub and modern deployment practices
  • Support Infrastructure-as-Code (Terraform) patterns including environment set up and lifecycle management
  • Develop and maintain detailed technical documentation, lineage, and pipeline designs

Must Have Skills:

• 5+ years of data engineering experience with enterprise-scale pipeline delivery
• Strong hands-on experience with GCP and BigQuery
• Proven expertise with dbt (required)
• Experience with Fivetran and API-based ingestion frameworks
• Strong Python skills including API integrations
• Experience with data quality rules, validation frameworks, and testing
• Proficiency with GitHub and CI/CD workflows
• Strong data modeling and ELT design experience
• Experience with data lineage, governance, and metadata
• Familiarity with healthcare data and compliance environments

Preferred Skills:

• Experience with Terraform (IaC)
• Familiarity with Harness CI/CD and GitHub Actions
• Experience with Snowflake and Azure Data Factory (ADF)
• Knowledge of data mesh and domain-based data stewardship
• Experience with data classification and access governance frameworks

Professional Skills:

• Solid written, verbal, and presentation communication skills
• Strong team and individual player
• Maintains composure during all types of situations and is collaborative by nature
• High standards of professionalism, consistently producing high quality results
• Self-sufficient, independent requiring very little supervision or intervention
• Demonstrate flexibility and openness to bring creative solutions to address issues
   

Bridgenext is an Equal Opportunity Employer

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