Senior Data Engineer (Databricks & Azure) - Platform Lead

Eleks; Argentina; Remote; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Customer collaboration

Challenging tasks

Influence technologies

Professional team

Dynamic environment

Job summary

ELEKS is seeking a Senior Data Engineer to join a global analytics team. You will design and maintain data pipelines and lakehouse solutions using Databricks and Azure Data Factory, collaborating with backend engineers and cross‑functional partners.

Join a dynamic environment with a strong engineering culture, mentoring teammates and shaping the data platform for the insurance domain. Remote/office options across multiple regions are available.

Qualifications

• 5+ years of experience in data engineering.
• Hands-on experience with Databricks.
• Hands-on experience with Azure Data Factory.
• Experience working with Azure Data Platform.
• Experience designing and maintaining data pipelines and lakehouse solutions.
• Experience leading technical initiatives and mentoring engineers.
• Strong SQL knowledge is a plus.
• Upper-Intermediate or higher level of English.

Responsibilities

• Drive the technical direction of the platform’s data engineering solutions and architecture
• Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks
• Collaborate with Backend engineers to design data models and integration solutions
• Analyze requirements, review technical designs, and contribute to solution estimations
• Optimize the performance, scalability, and reliability of data solutions
• Mentor engineers and promote engineering best practices across the team

Skills

Data engineering

Mentoring engineers

Cross-functional collaboration

SQL knowledge

Tools

Databricks

Azure Data Factory

Azure Data Platform

Job description

ELEKS is seeking a Senior Data Engineer to join a global analytics team. You will design and maintain data pipelines and lakehouse solutions using Databricks and Azure Data Factory, collaborating with backend engineers and cross‑functional partners.

Join a dynamic environment with a strong engineering culture, mentoring teammates and shaping the data platform for the insurance domain. Remote/office options across multiple regions are available.