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Data Engineer – Azure Databricks
Build and optimize scalable HR data pipelines on Azure Databricks using Spark, SQL, and DevOps practices to power analytics and employee-facing products.
Senior Data Engineer: Data Lake & Warehouse Architect
Designs and builds scalable data lake and warehouse solutions using SQL, Python, and cloud tools like Google Cloud Platform and Informatica Power Center.
Senior Azure Data Engineer: Data Lakes & DWH
Design and implement Azure Data Lake and Data Warehouse solutions using Python, SQL, Databricks, and event processing; mentor junior engineers in a hybrid work model.
Regular Data Engineer | Inetum
Build and maintain scalable data pipelines on Azure using Microsoft Fabric, Databricks, and ETL/ELT tools to support analytics and reporting across finance, sales, and operations.
Data Engineer (Microsoft Fabric)
Build scalable data pipelines and analytics platforms using Microsoft Fabric, Azure, and PySpark to transform enterprise data into actionable insights across finance, sales, and operations.
Data Engineer (ETL/ELT)
Build and maintain scalable Azure-based ETL/ELT pipelines to integrate enterprise systems and transform raw data into analytics-ready insights for reporting.
Data Engineer (Azure Cloud)
Build and modernize Big Data pipelines for a European scoring agency using Azure Data Factory, Python/Java, and streaming tech like Kafka.
Data Engineer (Spark, Azure)
Design and build a scalable enterprise search engine for a global financial firm using Python, Spark, and Azure services.
Senior Azure Data Engineer
Design and build Azure-based data pipelines, warehouses, and analytics using Databricks, Data Factory, and Power BI to process large datasets and enable ML workloads.
Data Engineer (all genders)
Designs and maintains scalable data pipelines and a central data platform using Databricks and Snowflake to power analytics and AI/ML across the organization.
Data Engineer (all genders)
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
Data Engineer (Azure Data Platform)
Design and implement Microsoft Fabric and Azure-based data pipelines, ETL/ELT processes, and AI-driven analytics solutions for enterprise clients.
Data Engineer (Azure Data Platform)
Build and optimize Azure Data Factory/Synapse pipelines and Microsoft Fabric solutions, integrating AI-powered analytics and Power BI models to deliver business insights for clients.
Staff I Data Engineer
Build and own the data platform for an AI-powered SaaS finance product, designing Snowflake pipelines, Power BI analytics, and AI-driven development workflows to deliver trusted insights for enterprise customers.
Senior Data Engineer Krakow
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Senior Data Engineer (Azure)
Senior Data Engineer builds and optimizes Azure-based ETL pipelines, data warehouses, and BI reports using SQL, Azure Synapse, and Power BI to deliver clean, governed data for analytics.
Senior Data Engineer Wroclaw
Senior Data Engineer builds and maintains cloud-based ETL pipelines and data architectures using Python, Spark, and cloud platforms to power analytics and ML for global clients.
Senior Data Engineer(Databricks)
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
Senior Data Engineer room
Build and maintain data pipelines, warehouses, and lakes using Oracle, PostgreSQL, BigQuery, Kafka, and Python to feed analytics and reporting systems.
Junior Data Engineer
Build and maintain ETL pipelines using Spark/Scala to move and transform data between systems, ensuring quality and integration with microservices in a hybrid Warsaw role.