Senior Data Engineer (Azure)（远程职位）

这条招聘信息来自 Proxify，岗位是 Senior Data Engineer (Azure)：这是高级职位，公司期待由你自己拿主意。职位属于「数据与分析」类别，完全远程。公司招的是居住在欧洲的候选人。

招聘信息里列出的主要工具是：Python、SQL、Power BI。简历上最好能给出正是这几项能力的具体例子。

公司没有公布具体数字，这一项会在面试时谈定。招聘信息写明了 CET 时区，工作时间要和自己的作息对上。

这个职位通过了自动核查：凡是要求外国工作许可、签证担保、特定国籍，或者必须居住在指定国家的招聘信息，都不会进入列表。

About us:

Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

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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Compensation

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