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Designs and builds data pipelines and ETL/ELT processes using SQL, Python/Scala/Java to process large datasets for a fintech company.
Senior Snowflake Data Engineer builds and maintains data pipelines and warehouses for international clients, working remotely from Warsaw with quarterly travel to Qatar.
Senior Data Engineer designs and maintains Azure-based ETL pipelines using Data Factory, Databricks, and SQL, ensuring efficient cloud data workflows.
Designs and optimizes data structures for real-time CRM decisioning engines and customer 360 profiling in a Polish fintech environment.
Designs and maintains AWS-based data pipelines using Glue, DMS, Redshift, and S3, writing Python/Scala code and optimizing ETL/ELT workflows.
Builds and maintains data pipelines and platforms using .NET, focusing on scalable, low-code solutions for data workflows.
Builds and maintains an AI-driven data packaging framework to transform raw data into standardized formats for reliable data products in a hybrid role.
Builds data pipelines and AI/ML integrations for generative AI and IoT solutions on Microsoft Azure, ServiceNow, and Power Platform.
Junior Data Engineer helps process and manage data pipelines for e-commerce projects at LPP Group, working hybrid (2 days in office).
Design and build AWS-based data pipelines, integrate SAP data, and maintain ETL/ELT workflows using AWS Glue and Python/SQL.
Builds and optimizes ETL pipelines using PySpark and Databricks to move and model data in a data warehouse.
Builds a predictive-maintenance pipeline for aircraft engines using Azure Databricks, Spark, and Python to process large-scale sensor data.
Design and build scalable data platforms using Snowflake and Azure, implementing ETL/ELT pipelines and data models for modern data architectures.
Builds and optimizes data pipelines using Apache Spark (Databricks/Azure Synapse), Python, Pandas/Polars, and Parquet/Delta Tables for reliable analytics workloads.
Design and build scalable Azure Databricks-based data pipelines and lakehouse architectures using Spark and Azure Data Factory to power analytics and reporting.
Designs and builds GIS applications with ArcGIS Experience Builder, integrates spatial data workflows, and deploys cloud-based geospatial solutions.
Builds AWS-based data pipelines and analytical workflows, engineering features and turning large datasets into actionable insights for business decisions.
Build and maintain ETL pipelines, optimize data flows, and create dashboards using SQL, Power BI/Tableau, and NoSQL/Elasticsearch.
Build and maintain an insurance-focused data platform using Python, AWS Glue, Spark, and Data Mesh principles.
Designs and builds scalable data analytics pipelines on Azure and Databricks for a heating industry client using Python, SQL, and cloud infrastructure.
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