Senior Azure Data Engineer

xebiacee; Stati Uniti; Remoto; USD 140.000 - 180.000; Tempo pieno

Descrizione del lavoro

xebiacee is seeking an experienced data engineer to design, build, and operate production data pipelines on an Azure-based data platform. The role spans new reporting workloads and improvements to existing pipelines, with responsibility for reliability, performance, monitoring, incident response, and operational documentation.

You will create, test, deploy, and maintain scalable pipelines for reporting and analytics, refactor to improve reliability and observability, and onboard workloads while

Competenze

• Eight+ years of data engineering experience with production-grade pipelines.
• Strong hands-on experience with Microsoft Azure and Databricks.
• Advanced SQL and Python skills for building and operating data pipelines.

Mansioni

• Create, test, deploy, and maintain scalable pipelines for reporting and analytics.
• Refactor pipelines to improve reliability, performance, and observability.
• Collaborate with data, architecture, product, and engineering teams to turn needs into robust solutions.
• Onboard data workloads to the platform and align with governance and security standards.
• Own operational practices for data pipelines, diagnose failures, and implement fixes.
• Document data flows and operating procedures; share practices that support team autonomy.

Conoscenze

SQL

Python

Azure

Databricks

DataOps

Strumenti

Git

CI/CD

Descrizione del lavoro

Role overview

Design, build, and operate production data pipelines and analytical products on an Azure-based data platform. The role spans new reporting workloads and improvements to existing pipelines, with responsibility for reliability, performance, monitoring, incident response, and operational documentation.

Responsibilities

• Create, test, deploy, and maintain scalable pipelines for reporting and analytics.
• Refactor existing pipelines to improve reliability, performance, maintainability, and observability.
• Work with data, architecture, product, and engineering colleagues to turn reporting needs into robust solutions.
• Onboard data workloads to the platform and align them with architecture, governance, security, and engineering standards.
• Own operational practices for data pipelines, diagnose failures, identify root causes, and implement lasting fixes.
• Document data flows, dependencies, transformations, and operating procedures; share practices that support team autonomy.

Requirements

• At least eight years of data engineering experience, including ownership of production-grade pipelines.
• Strong hands-on experience with Microsoft Azure and Databricks.
• Advanced SQL and Python skills, with experience building and operating data pipelines and analytical data products.
• Understanding of modern data platform and lakehouse approaches, including medallion architecture and dimensional modelling.
• Experience with software engineering and DataOps practices such as version control, automated testing, CI/CD, monitoring, and incident management.
• SRE experience, strong data modelling judgement, clear documentation, and ability to work autonomously across teams.

Nice to have

• Databricks governance, lineage, and access-control experience, including Unity Catalog.
• Experience with payment or transaction data, or in distributed international teams.