DATA ENGINEER

Talent Complete is looking for a motivated Data Engineer for an international Manufacturing company.

Form of cooperation – B2B

Location – Remote/Poland

Industry – Manufacturing

Engagement: Full-time

Main responsibilities: 

• Data Pipeline Development Design, develop, and optimize ETL/ELT pipelines for batch and streaming data processing.
• Data Integration & Ingestion Build and maintain data ingestion, transformation, and integration processes across multiple source systems.
• Lakehouse & Data Platform Engineering Develop and manage data lake and lakehouse solutions ensuring scalability, reliability, and performance.
• Data Quality & Performance Optimization Implement and maintain data quality controls, monitoring, and performance improvements across data platforms.
• Stakeholder Collaboration Work closely with analysts, data modelers, and business stakeholders to deliver high-value data products.
• Data Engineering Best Practices Apply CI/CD, version control, testing, and engineering standards to data workloads.

• Azure Data Platform Expertise Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics and/or Microsoft Fabric, and Azure Data Lake Storage.
• SQL & Python Development Proficiency in SQL/T-SQL and Python, including PySpark for large-scale data processing.
• ETL/ELT Pipeline Development Experience building and maintaining modern ETL/ELT data pipelines.
• Spark & Databricks Experience Hands-on experience with Apache Spark and Databricks environments.
• Data Warehousing & Lakehouse Knowledge Strong understanding of data warehouse, lakehouse, and Delta Lake concepts.
• Senior Data Engineering Experience Proven experience delivering scalable and reliable modern data solutions in Azure environments.