Oferta wygasa za:89 dni
Tryb pracyZdalna
Rodzaj umowyKontrakt B2B
Tryb rekrutacjiRekrutacja stacjonarna
Wymiar etatuPełny etat
About the project
Support the development of modern data solutions within a large-scale Azure environment
Build and maintain reliable data pipelines, ensuring high-quality data processing and enabling advanced analytics and business intelligence solutions
Focus strongly on Python-based data engineering, with less emphasis on reporting development
Your responsibilities
- Develop, optimize, and maintain big data ELT/ETL pipelines supporting statistical modelling and business intelligence solutions
- Design and implement robust data ingestion, staging, processing, and serving workflows using Microsoft Azure services
- Ensure data quality, integrity, monitoring, and reliability across data solutions
- Configure and maintain data storage solutions, including Snowflake data lake and SQL databases
- Build and support production-grade integrations between key components of the data infrastructure
- Write secure, scalable, and maintainable Python code that transforms business requirements into technical solutions
- Apply engineering best practices, including automation, CI/CD, version control, and code quality standards
- Collaborate with BI Analysts, Data Scientists, ML Engineers, and IT teams to deliver valuable data-driven solutions
Our requirements
- Minimum 3 years of professional experience in Data Engineering or a similar role
- Strong hands-on experience with Python development for production data solutions
- Solid knowledge of SQL and data processing concepts
- Practical experience with Azure data services (2–3+ years), including technologies such as Azure Data Factory, Azure Blob Storage, Azure SQL Database, Azure Synapse, Azure Key Vault, Logic Apps, SharePoint integrations
- Experience building and maintaining ETL/ELT pipelines
- Experience with workflow orchestration, especially Azure Data Factory
- Experience with Databricks and/or Snowflake
- Good understanding of CI/CD practices and version control using Azure DevOps or GitHub
- Knowledge of data governance concepts, including metadata, data lineage, security, compliance, and master data management
- Business-level English skills (B2–C1)
- Azure Data Engineer or Data Analytics certification
- Experience with PySpark and/or Scala
- Understanding of BI tools, including Power BI
- Experience working in analytics or supply chain-related environments
What we offer
- Equipment provided by the client
- ASAP start
- Planned project duration until the end of the year
- Long-term cooperation
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