Senior Data Engineer (Azure)

Proxify

Poland

A distancia

PLN 245.959 - 316.233

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Flexible withdrawal options
8-hour working days
Up to 24 flex days off
Career-accelerating positions
Hand-picked opportunities

Descripción de la vacante

A leading tech recruitment agency is seeking a Senior Data Engineer in Poland with strong expertise in Microsoft Azure. The ideal candidate will have over 5 years of experience in Data Engineering, advanced SQL knowledge, and be proficient in ETL development and data integration. Responsibilities include designing and developing end-to-end data pipelines and collaborating with teams to ensure data quality and governance. The role offers flexible working hours, up to 24 days of paid time off, and predictable project hours.

Formación

  • 5+ years in Data Engineering roles.
  • Complex queries and performance tuning expertise.
  • Experience managing ETL workflows and data quality.

Responsabilidades

  • Design and develop end-to-end data pipelines using Azure services.
  • Manage and optimize ETL workflows for data quality.
  • Collaborate with teams to translate business needs into solutions.

Conocimientos

Advanced SQL knowledge
ETL development
Data integration
Pipeline orchestration
Data modeling principles
Data quality management
Data security best practices
Azure Data Factory
Power BI development
Python

Herramientas

Azure Synapse Analytics
Azure DevOps
Git

Descripción del empleo

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.
  • 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.

Career-accelerating positions at cutting-edge companies

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Hand-picked opportunities, just for you

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Compensation

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