Addepto

Data Engineer (Azure Data Factory)

12.6k - 21k PLN12 600 - 21 000 PLN/ mies./ mies.B2BB2B (netto)

MidZdalnie·WarszawaFull-time·B2B

#460705·Dodano 12 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python SQL ETL AzureAzure Data FactoryCI/CD KubernetesPower BIdbt

Podsumowanie oferty

Develop and improve an Azure Data Factory-centered data integration solution and data platform, including its warehouse layer and occasional reporting. Work with Python, SQL, Azure, and Azure DevOps, collaborating with the client-side Product Owner and Architect.

Wymagania

Strong hands-on experience with Azure Data Factory, including pipeline and orchestration design, linked services, datasets, triggers, parameterization, monitoring, troubleshooting, performance tuning, and deployment-aware development in enterprise environments.
Excellent knowledge of Python, including Azure Functions, REST APIs, and automation.
Strong SQL skills and a solid understanding of data modeling for ETL/ELT and warehouse workloads.
Experience with CI/CD processes in Azure DevOps, including pipelines, releases, and multi-environment deployments.
Solid understanding of Azure services and cloud-based data solutions, such as Azure SQL Database and Azure Key Vault.
Experience with Power BI for occasional dashboarding and reporting.
Experience working with modern development practices and tools.
Consulting mindset, proactive communication, and strong stakeholder alignment skills.
Ability to collaborate effectively with a Product Owner and Architect during planning and delivery.
Independent and responsible approach to delivering high-quality solutions.
Excellent command of English, at least C1 level.

Nice to have:

Knowledge of dbt.
Experience implementing data warehouses on Azure.

Obowiązki

Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management.
Configure and manage linked services and datasets in Azure Data Factory.
Monitor, troubleshoot, and optimize pipelines for performance and reliability.
Develop and maintain ETL/ELT processes and support the data warehouse layer using Azure SQL Database or Synapse.
Translate business requirements into technical solutions in collaboration with the Product Owner and Architect.
Develop and maintain Python components, including Azure Functions, API integrations, and automation scripts.
Contribute to Azure DevOps CI/CD pipelines, releases, and environment promotion.
Support occasional Power BI reporting and dashboarding.
Communicate proactively, align stakeholders, and provide visibility of risks and impacts.
Take ownership of assigned tasks and contribute to continuous platform improvement.

Benefity

Language classes.
Sponsored training and conferences, including access to training materials and certifications through partnerships with Databricks and Anthropic.
Team-building events and an integration budget.
Medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Full work equipment, including a laptop and other necessary devices.
Opportunities to speak at conferences, write for the company blog, or participate in meetups.

Kursy językowe

Dofinansowanie szkoleń

Budżet konferencyjny

Spotkania integracyjne

Opieka zdrowotna

Karta sportowa

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