Senior Data Engineer (Databricks On Azure)

Devsu; Argentina; Remote; ARS 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Stable, long-term contract

Remote-friendly culture

Continuous training

AI training resources

Flexible PTO

Paid holidays

Job summary

Devsu is seeking a Senior Data Engineer with advanced, hands-on Databricks on Azure experience to design, build, modernise and operate scalable data pipelines supporting Tax technology platforms.

You will migrate and enhance Spark and Python workloads on Azure Databricks, build ingestion and document-processing capabilities, and collaborate with architects, tax SMEs, and platform teams to improve maintainability, security, and reliability.

Qualifications

• 5+ years of experience in data engineering.
• Strong Apache Spark and PySpark experience.
• Advanced, hands-on Databricks on Azure experience in production (Delta Lake, Unity Catalogue, Workflows/Jobs, ADLS Gen2, Azure Data Factory).
• Strong SQL and data modelling skills.
• Experience building, testing, deploying, and troubleshooting production ETL/ELT pipelines.
• Experience with Git-based source control and CI/CD pipelines (e.g., Azure DevOps).
• Experience consuming REST APIs for data ingestion, including authentication, pagination, and failure handling.
• Experience writing automated tests for data pipelines.
• Strong understanding of data quality, reliability, and data engineering best practices.
• Strong problem-solving, communication, and collaboration skills, with sound judgement to analyse unfamiliar codebases, identify gaps and trade-offs, challenge requirements and propose practical improvements.

Responsibilities

• Design, build, and support scalable data pipelines using Python, Apache Spark, PySpark, and Databricks on Azure.
• Modernise and migrate legacy data processing workloads to secure, cloud-native platforms.
• Build and maintain batch data ingestion pipelines from structured and unstructured sources.
• Integrate data from REST APIs, SharePoint, document repositories, enterprise applications, and cloud platforms.
• Implement data quality, monitoring, observability, and operational controls.
• Optimise data workloads for performance, scalability, reliability, and cost efficiency.
• Develop document extraction, classification, metadata enrichment, and automation pipelines.
• Apply software engineering practices, including Git, CI/CD, automated testing, and code reviews.
• Build, deploy, troubleshoot, and maintain production ETL/ELT pipelines.
• Collaborate with architects, developers, tax subject matter experts, and platform teams.
• Analyse existing codebases and identify opportunities to improve maintainability, security, and reliability.
• Use AI-assisted development tools to build, review, test, and maintain data pipeline code.

Skills

Data engineering

Spark/PySpark

Databricks on Azure

SQL & data modelling

ETL/ELT pipelines

Git CI/CD

REST API ingestion

Automated testing

Data quality

Problem solving

Tools

Delta Lake

Unity Catalog

ADLS Gen2

Azure Data Factory

Azure DevOps

Job description

We are looking for a Senior Data Engineer with advanced, hands-on Databricks on Azure experience to design, build, modernise and operate scalable data pipelines supporting Tax technology platforms. You will migrate and enhance existing Spark and Python workloads on Azure Databricks and build scalable ingestion and document-processing capabilities. We need someone who has owned production Databricks on Azure pipelines end to end, understands the wider system, surfaces assumptions and trade-offs, and proposes better approaches.

Responsibilities

• Design, build, and support scalable data pipelines using Python, Apache Spark, PySpark, and Databricks on Azure.
• Modernise and migrate legacy data processing workloads to secure, cloud-native platforms.
• Build and maintain batch data ingestion pipelines from structured and unstructured sources.
• Integrate data from REST APIs, SharePoint, document repositories, enterprise applications, and cloud platforms.
• Implement data quality, monitoring, observability, and operational controls.
• Optimise data workloads for performance, scalability, reliability, and cost efficiency.
• Develop document extraction, classification, metadata enrichment, and automation pipelines.
• Apply software engineering practices, including Git, CI/CD, automated testing, and code reviews.
• Build, deploy, troubleshoot, and maintain production ETL/ELT pipelines.
• Collaborate with architects, developers, tax subject matter experts, and platform teams.
• Analyse existing codebases and identify opportunities to improve maintainability, security, and reliability.
• Use AI-assisted development tools to build, review, test, and maintain data pipeline code.

Requirements

Must Have

• 5+ years of experience in data engineering.
• Strong Apache Spark and PySpark experience.
• Advanced, hands-on Databricks on Azure experience in production (Delta Lake, Unity Catalogue, Workflows/Jobs, ADLS Gen2, Azure Data Factory).
• Strong SQL and data modelling skills.
• Experience building, testing, deploying, and troubleshooting production ETL/ELT pipelines.
• Experience with Git-based source control and CI/CD pipelines (e.g., Azure DevOps).
• Experience consuming REST APIs for data ingestion, including authentication, pagination, and failure handling.
• Experience writing automated tests for data pipelines.
• Strong understanding of data quality, reliability, and data engineering best practices.
• Strong problem-solving, communication, and collaboration skills, with sound judgement to analyse unfamiliar codebases, identify gaps and trade-offs, challenge requirements and propose practical improvements.

Nice to have

• Experience modernising legacy data pipelines.
• Experience with document processing, intelligent document extraction, or unstructured data.
• Familiarity with AI-assisted development tools such as Codex, GitHub Copilot, or similar.
• Experience with streaming data pipelines or large-scale data repositories.

A stable, long-term contract. Continuous Training. Private Health insurance. Flexible schedule. Work with some of the most talented software engineers in Latin America and the US, doing challenging work and world-class software for clients in the US and around the world.

At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy:

A stable, long-term contract with opportunities for career growth

A remote-friendly culture that promotes work-life balance

Continuous training, mentorship, and learning programs to keep you at the forefront of the industry

Free access to AI training resources and state-of-the-art AI tools to elevate your daily work

Flexible Paid Time Off (PTO) policy as well as paid holiday days

Challenging, world-class software projects for clients in the US and LatAm

Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment

Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.

Senior Data Engineer (Databricks on Azure) AR