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Data Engineer / Senior Data Engineer (Databricks, Snowflake, Data Lakes)

SeniorremoteWarszawa, PL →hace 2 sem.
Análisis del mercado
📊 Data Engineering: salarios y demanda en el mercado
Stack
SQLPythonData EngineeringETL/ELTDatabricksSnowflakedata lake / lakehouse architectureData Integration & TransformationApache Spark / PySparkMicrosoft Fabricdatabricksllm
Detalles
Experiencia
2+ años
Inglés
B2, obligatorio
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Descripción

Data Engineer / Senior Data Engineer (Databricks, Snowflake, Data Lakes) Location: Poland Work model: 100% remote Contract: B2B Start date: ASAP / flexible Project duration: Long-term, typically 12–18 months Rate: 140–145 PLN/h About the project We are looking for experienced Data Engineers and Senior Data Engineers to join international teams developing scalable data solutions for enterprise applications and AI-powered systems. The projects involve processing large and complex datasets, including financial, tax and customs data. The solutions support business applications and AI systems used for data analysis and document preparation.

You will work with modern data platforms such as Databricks and Snowflake, building reliable data pipelines and scalable data architectures in an enterprise environment.

Responsibilities

Design, develop and maintain data integration and processing solutions. Build, optimize and maintain ETL/ELT pipelines. Work with data platforms such as Databricks, Snowflake and Microsoft Fabric.

Process, transform and integrate data from multiple business systems. Build data layers that support business applications and AI solutions. Ensure data quality, consistency, performance and reliability.

Collaborate with AI Engineers, architects and business stakeholders. Contribute to scalable data architecture design for enterprise environments.

Requirements

Hands-on experience in Data Engineering and developing production-ready solutions. Strong SQL and Python prog

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