Xebia sp. z o.o.

Senior Azure Data Engineer

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SeniorZdalnie·WrocławFull-time·B2B·Umowa o pracę

#445106·Dodano miesiąc temu·3

Źródło: justjoin.it

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Tech Stack / Keywords

Azure Databricks Python SQL

Podsumowanie oferty

The Senior Azure Data Engineer will design, build, test, and deploy scalable data pipelines for reporting and analytics. The role involves creating and maintaining production-ready pipelines, improving existing pipelines for reliability and performance, and collaborating with Data professionals, Product Managers, and Engineering Managers. The engineer will also ensure compliance with architecture, governance, security, and engineering standards of the Data Platform while contributing hands-on to onboarding Core Products data workloads.

Wymagania

At least 8 years of professional experience in Data Engineering including ownership of production-grade data pipelines
Strong, demonstrable hands-on experience with Microsoft Azure and Databricks
Advanced SQL and Python skills
Strong experience designing, building, and operating data pipelines and analytical data products
Good command of modern data-platform and lakehouse principles, including medallion architecture and dimensional modelling for reporting
Experience with software engineering and DataOps practices, including version control, automated testing, CI/CD, deployment, monitoring, and incident management
Experience with SRE practices and continuous operational improvements
Strong stakeholder communication skills and ability to collaborate across Data, Architecture, Product, and Engineering teams
Data modelling skills and ability to develop a holistic view of different data scopes and business objectives before making build decisions
Ability to work autonomously, make sound technical decisions, and document them clearly

Nice to have:

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

Obowiązki

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 and refactoring existing reporting pipelines to improve reliability, performance, maintainability, and observability
Maintaining new and existing pipelines to ensure reliable daily delivery of data assets
Working with Data professionals, Data Architects, Product Managers, and Engineering Managers to translate reporting needs into robust technical solutions
Contributing hands-on to onboarding Core Products data workloads onto the Data Platform
Ensuring pipelines align with 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

Benefity

Development budgets of up to 6,800 PLN
Funded certifications such as AWS and Azure
Access to Udemy, O'Reilly, and more
Participation in events and technology conferences
Technology Guilds
Internal training programs including Xebia Upskill
Private medical healthcare
Subsidized MultiSport card
Mental Health Support

Dofinansowanie szkoleń

Budżet konferencyjny

Szkolenia wewnętrzne

Opieka zdrowotna

Karta sportowa

Inne informacje

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Xebia sp. z o.o.

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