Data Engineer (LATAM)

Help design and deliver a modern data platform for a US-based client’s engineering team as a Senior Data Engineer.

About the Client

Our client is a global customer experience technology and consulting company and a long-standing, top-tier Microsoft partner. Its Microsoft practice works across Dynamics 365, Power Platform, Azure, and Microsoft 365.

The client’s teams bring together CX engineers, developers, data scientists, and solution architects who design, deliver, and support complex, fully integrated digital solutions for enterprise clients.

Your impact

You’ll work across Microsoft Azure, Microsoft Fabric, and Azure Databricks to build scalable, secure, and governed lakehouse platforms that support analytics, Generative AI, and Agentic AI.

Working alongside architects, data scientists, and client stakeholders, you’ll ingest, clean, prepare, and deliver trusted data, and build the APIs that connect it to downstream applications and reporting.

What makes you a great fit

• 5+ years in technology, with significant experience in enterprise data platforms, cloud, and analytics
• Strong experience building Data & Analytics solutions on Microsoft Azure
• Exposure to the Microsoft Azure data ecosystem (Azure Data Factory, Microsoft Fabric, ADLS Gen2) and/or Azure Databricks
• Strong technical foundation in SQL, Python, Spark, distributed processing, data modeling, integration patterns, and APIs
• Strong understanding of Medallion Architecture, data products, semantic layers, batch and streaming architectures, and event-driven integration
• Knowledge of Azure security: Entra ID, RBAC, managed identities, Key Vault, VNets, Private Link/private endpoints
• Understanding of ETL/ELT concepts and the end-to-end data lifecycle, from ingestion through activation
• Familiarity with building or consuming APIs for data integration
• Familiarity with version control (Git) and basic CI/CD concepts
• Upper-Intermediate English level or higher

Nice to have

• Experience with Delta Lake and Unity Catalog
• Experience with Azure DevOps

What you will do

• Design, build, and maintain batch and streaming data pipelines using Microsoft Fabric, Azure Data Factory, and Azure Databricks, with Python, PySpark, and SQL
• Ingest data from structured, semi-structured, and unstructured sources (databases, APIs, files, and event streams) into governed lakehouse environments
• Support the full data journey on client engagements: ingestion, cleaning, preparation, transformation, and delivery of analytics-ready datasets
• Implement transformation logic aligned with Medallion (Bronze, Silver, Gold) architecture patterns in ADLS Gen2, OneLake, and/or Delta Lake
• Build and consume APIs and reusable data services that expose data to reporting, applications, and downstream analytics
• Write clean, well-tested code and participate in peer code reviews
• Apply data modeling fundamentals (dimensional, normalized, star schema) to structure data for analytics, Power BI, and reporting use cases
• Implement data quality checks, validation rules, and monitoring to keep pipelines accurate, complete, and reliable
• Troubleshoot pipeline failures, performance bottlenecks, and data discrepancies, escalating and resolving issues promptly
• Document data flows, data models, and transformation logic for technical and client audiences
• Support data security, access control, and governance practices (e.g., Microsoft Purview, role-based access)
• Gain exposure to how data is activated for front-line systems and early Data Agent/Copilot-style use cases
• Participate in agile ceremonies, including sprint planning, stand-ups, and estimation, as part of a delivery team

Perks & Benefits

• Competitive salary with regular reviews
• Vacation (up to 20 working days)
• Sick leave (10 working days)
• National holidays as a time off
• Flexible working schedule and remote work
• Direct cooperation with the customer
• Dynamic environment with a low level of bureaucracy and great team spirit
• Challenging projects in diverse business domains and a variety of tech stacks
• Communication with top- and senior-level specialists to strengthen your hard skills
• Online teambuildings

Ready to take the next step? Apply now and let’s talk about how you can make an impact on the project.