Senior Data Engineer — Azure Databricks & Python (Remote)

BairesDev; Sucre; A distancia; COP 372.694.000 - 527.983.000; Jornada completa

Descripción de la vacante

BairesDev, a globally distributed technology company, is seeking a Senior Data Engineer to design and develop scalable data pipelines and ingestion frameworks. You will collaborate with regional stakeholders to translate analytical requirements into robust ETL solutions, ensuring data is accessible and reliable across the enterprise.

The role emphasizes autonomous collaboration with cross-functional teams, advanced data governance, and modern cloud-based data platforms.

Formación

• 5+ years of experience in Data Engineering, Python development, or a related field.
• Proven expertise in Azure Databricks, Python, and SQL for ETL delivery and data discovery.
• Hands-on experience with Pandas, LLM API integration, and prompt engineering.
• Fluency in Spanish for daily stakeholder interaction and independent client-facing communication.
• Advanced proficiency in English.

Responsabilidades

• Design and implement scalable data pipelines and automated workflow orchestration to process large-scale datasets.
• Develop clean, optimized code for data discovery, ingestion, and transformation tasks.
• Integrate advanced model APIs and prompt engineering patterns to power downstream data-driven applications.
• Facilitate daily technical discussions and coordinate independently with cross-functional business stakeholders.
• Partner with compliance and architecture teams to enforce data governance standards and pipeline performance optimizations.

Conocimientos

Azure Databricks

Python

SQL

Pandas

LLM API integration

Prompt engineering

Spanish language

English language

Data engineering

Descripción del empleo

BairesDev, a globally distributed technology company, is seeking a Senior Data Engineer to design and develop scalable data pipelines and ingestion frameworks. You will collaborate with regional stakeholders to translate analytical requirements into robust ETL solutions, ensuring data is accessible and reliable across the enterprise.

The role emphasizes autonomous collaboration with cross-functional teams, advanced data governance, and modern cloud-based data platforms.