Lead Data Software Engineer

Remote in Argentina,

Data Software Engineering

Facebook LinkedIn Send via email

Looking for something else?

Find a vacancy that works for you. Send us your CV to receive a personalized offer.

Find me a job

Location-specific conditions & benefits*

Choose an option

We are looking for a Lead Data Software Engineer to drive scalable data solutions and guide end-to-end technical delivery with clients. You will partner directly with stakeholders, shape robust batch and streaming pipelines, and set a high bar for architecture and quality across the program—apply now.

Responsibilities

Develop and maintain the codebase for ETL and ELT pipelines, large batch/micro batch processing, and streaming systems
Build the infrastructure needed for efficient extraction, transformation, and loading from diverse data sources using ADF, Spark, Kafka, or similar technologies
Identify, design, and implement internal process improvements, including automating manual steps, optimizing data delivery, and reworking infrastructure for better scalability
Design and implement modern data services solutions using Spring Boot, ReactJS, NoSQL, or other UI and API related technologies
Ensure governance of delivery management and production processes according to the selected delivery model
Serve as the single accountable owner for top management and stakeholders on delivery topics, including escalations, upsells, and ramp-downs
Provide technical leadership across delivery by planning sound, future-proof architecture and ensuring implementation meets technical quality standards
Write stories and corresponding acceptance criteria to support agile/scrum execution
Coordinate work across multiple disciplines and stakeholders
Ensure projects are delivered in line with defined processes and methodologies, with a strong focus on agile approaches
Establish a continuous delivery risk management strategy that enables proactive decisions and actions throughout the delivery life cycle
Measure and improve delivery productivity, act as a consultant to Data Engineers, and perform production support and deployment activities

Requirements

5+ years of experience in data software engineering
High proficiency with SQL, Spark, and Scala
Deep expertise in Databricks
Solid understanding of ETL/ELT pipelines, batch and streaming data processing
Working knowledge of delivery management, agile methodologies, and technical leadership
Ability to communicate directly with clients in English at B2 (Upper-Intermediate) level or higher

Nice to have

Knowledge of Spark Streaming
Familiarity with Kafka
Background in Azure