Senior Data Engineer (Azure)

Remotely; Italia; Remoto; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading remote recruitment agency seeks a Senior Data Engineer with expertise in Azure technologies. The role involves designing data pipelines, optimizing workflows, and collaborating with teams to deliver high-quality data solutions. Ideal candidates will have extensive experience in data engineering and strong SQL skills. This full-time position offers predictable project hours and flex days to ensure a healthy work-life balance.

Servizi

Flexible withdrawal options

24 flex days off per year

Consistent pay every month

Competenze

• 5+ years in Data Engineering roles.
• Strong understanding of Azure technologies.
• Proven experience in ETL development and data integration.

Mansioni

• Design and develop end‑to‑end data pipelines using Azure Data Factory.
• Manage and optimize ETL workflows for data quality and performance.
• Collaborate with stakeholders to translate business requirements into solutions.

Conoscenze

Data Engineering

Advanced SQL

Azure Technologies

ETL Development

Data Governance

Strumenti

Azure Data Factory

Power BI

Python

Descrizione del lavoro

The Role

We are looking for a Senior Data Engineer with deep expertise in Microsoft Azure to join our fast-growing Network. You are a perfect candidate if you are growth‑oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

What we’re looking for

• 5+ years in Data Engineering roles.
• Advanced SQL knowledge: complex queries, performance tuning, stored procedures.
• Strong understanding of Azure technologies: Azure SQL Database, Data Factory, etc.
• Proven experience in ETL development, data integration, and pipeline orchestration.
• Deep understanding of data modeling principles and data warehouse architectures.
• Knowledge of data governance principles, data quality management, and data security best practices.
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.

Nice‑to‑have

• Familiarity with Azure Synapse Analytics, Data Lake, and Azure DevOps.
• Expert in Power BI development, including Power Query, DAX, and Power BI Service.
• Experience with Python or other scripting languages for data processing.
• Git or other version control systems for collaboration and CI/CD practices.
• Microsoft certifications (Power BI, Azure Data Engineer, or SQL Server).

Responsibilities

• Design and develop end‑to‑end data pipelines using Azure Data Factory, SQL, and other Azure services.
• Implement complex data models, DAX measures, and calculated columns to support reporting.
• Manage and optimize ETL workflows, ensuring data quality, consistency, and high performance.
• Design and maintain data warehouses and dimensional models (e.g., star/snowflake schema).
• Collaborate with analysts, developers, and stakeholders to translate business requirements into technical solutions.
• Integrate data from various sources, including SQL databases, cloud storage, APIs, and flat files.
• Ensure data governance, accuracy, and integrity across the BI ecosystem.

What we offer

Get paid, not played

No more unreliable clients. Enjoy on‑time monthly payments with flexible withdrawal options.

Predictable project hours

Enjoy a harmonious work‑life balance with consistent 8‑hour working days with clients.

Flex days, so you can recharge

Enjoy up to 24 flex days off per year without losing pay, for full‑time positions found through Proxify.

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One seamless process, multiple opportunities

A one‑time contracting process for endless opportunities, with no extra assessments.

Compensation

Enjoy the same pay, every month with positions landed through Proxify.