Addepto

Senior Data Engineer (Azure Data Factory)

21k - 28.6k PLN21 000 - 28 560 PLN/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#460703·Dodano 29 dni temu·5

Źródło: nofluffjobs.com

Aplikuj teraz

Tech Stack / Keywords

Python SQL ETL AzureAzure Data FactoryDatabricksStreamingCI/CD KubernetesPower BIdbt

Podsumowanie oferty

Senior Data Engineer supporting and further developing an Azure data integration platform centered on Azure Data Factory and Databricks. The work includes pipeline design and orchestration, improving the data platform and warehouse layer, and contributing to Azure DevOps CI/CD processes. You will collaborate with the client-side Product Owner and Architect.

Wymagania

Strong hands-on experience with Azure Data Factory and Databricks, 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 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 within 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 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

Flexible work arrangements, including remote work or working from modern offices and coworking spaces.
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.

Elastyczne godziny

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Spotkania integracyjne

Kursy językowe

Opieka zdrowotna

Karta sportowa

Płatny urlop

Premie

Addepto

70 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz