Senior Azure Data Platform Engineer

Xebia

Polska

On-site

PLN 180,000 - 280,000

Full time

2 days ago
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Job summary

Xebia is seeking an experienced Data Engineer to lead the design, development, and operation of scalable data pipelines for reporting and analytics. You will work with data professionals, architects, product managers, and engineers to translate needs into robust solutions, while upholding governance and platform standards.

Responsibilities include onboarding Core Products data workloads, ensuring reliability and observability, and driving DataOps practices across the Data Platform.

Qualifications

  • 8+ years of professional experience in Data Engineering.
  • Hands-on experience with production-grade data pipelines.
  • Strong Azure and Databricks expertise.
  • Advanced SQL and Python skills.
  • Experience with data platforms and lakehouse concepts.
  • Knowledge of DataOps, CI/CD, monitoring, and incident management.
  • Strong stakeholder communication across multiple teams.

Responsibilities

  • designing, building, testing, and deploying scalable data pipelines for reporting and analytics use cases
  • creating new, production-ready pipelines supporting priority reporting use cases
  • reviewing existing reporting pipelines and refactoring them to improve reliability, performance, maintainability, and observability
  • maintaining new and existing pipelines to ensure data assets are reliably delivered on a daily basis
  • working with Data professionals, Data Architects, Product Managers, and Engineering Managers to translate reporting needs into robust technical solutions
  • contributing hands-on to the onboarding of Core Products data workloads onto the Data Platform
  • ensuring pipelines are aligned with the architecture, governance, security, and engineering standards of the Data Platform
  • ensuring compliance with platform standards for data modelling, code quality, testing, CI/CD, documentation, security, and monitoring
  • owning SRE practices for data pipelines and products
  • diagnosing data incidents and pipeline failures, identifying root causes, and implementing durable corrective actions
  • documenting data flows, dependencies, transformation logic, and operating procedures
  • ensuring clear documentation, monitoring, and operational ownership to support maintainability and reliable handover
  • sharing knowledge and engineering practices with the Core Products data team and contributing to its long-term autonomy

Skills

Data engineering
Azure
Databricks
SQL
Python
Data pipelines
Data modelling
DataOps & CI/CD
SRE practices
Stakeholder comms

Tools

Microsoft Azure
Databricks

Job description

Xebia is seeking an experienced Data Engineer to lead the design, development, and operation of scalable data pipelines for reporting and analytics. You will work with data professionals, architects, product managers, and engineers to translate needs into robust solutions, while upholding governance and platform standards.

Responsibilities include onboarding Core Products data workloads, ensuring reliability and observability, and driving DataOps practices across the Data Platform.

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