Company Overview

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our integral consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.

Position

Description

We are seeking a skilled and detail-oriented DataOps Engineer to design, build, and maintain automated data pipelines and cloud-based data platforms that support enterprise-scale web, mobile, and AI-driven applications. The DataOps Engineer will be responsible for ensuring the reliability, performance, and scalability of data operations, enabling smooth integration between systems, analytics, and applications. This role requires hands-on expertise with Azure data services, data orchestration tools, and CI/CD automation for data workflows.

Key Responsibilities:

Develop, deploy, and maintain data ingestion, transformation, and delivery pipelines using Azure Data Factory, Databricks, or equivalent frameworks

Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions

Automate data quality checks, schema validation, and error handling mechanisms

Integrate structured, semi-structured, and unstructured data sources (APIs, databases, IoT, etc.)

Collaborate with Data Engineers, DevOps, and Developers to enable seamless data flow between systems





Manage and optimize Azure cloud data services (Data Lake, Synapse, SQL, Blob Storage, Key Vault)

Implement infrastructure as code (IaC) using ARM templates, Terraform, or Bicep for provisioning data resources

Enforce data governance and access controls aligned with organizational policies

Implement automated data quality and validation frameworks

Build dashboards for tracking data pipeline health, latency, and throughput

Work closely with Data Engineers, Business Analysts, and Product Teams to align data operations with business goals

Support the data integration needs of downstream systems like BI dashboards (Power BI, Tableau) or AI applications

Workplace: Remote role in LATAM, preference for candidates based in Argentina. This role supports US-based client work and requires working Eastern timezone hours

Must-Have Skills: 5+ years of experience in Data Engineering or DataOps, preferably in cloud-based enterprise environments

Strong hands-on experience with Azure Data Factory, Azure Synapse, Databricks, and Azure SQL

Proficiency in Python, PowerShell, or Bash scripting for automation and monitoring

Experience with Infrastructure as Code (Terraform, ARM)

Working knowledge of DevOps tools (Azure DevOps, Git, Jenkins, GitHub Actions) for pipeline automation

Familiarity with ETL/ELT processes, API integrations, and event-driven architectures

Understanding of data governance, metadata management, and data lineage principles

Strong problem-solving and analytical skills with a focus on data reliability and performance

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

📌 Contractor - DataOps Engineer (Argentina)
🏢 Bridgenext Digital Engineering
📍 Argentina