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Data Engineer(GCP)
Designs and builds scalable data pipelines on Google Cloud, focusing on BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Senior Data Engineer
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
Senior Data Engineer
Designs and maintains scalable data pipelines using Python/Scala, Spark, and SQL on Azure/Databricks to support analytics and reporting.
Data Engineer(Pyspark)
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
Snowflake Data Engineer
Build and maintain Snowflake transformation layers that turn raw banking data into clean, governed datasets for risk modeling and regulatory reporting, using SQL, Snowpark, and Airflow.
Data Engineer (AWS)
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Azure Data Engineer
Design and build scalable HR data pipelines on Azure Databricks and ADF, focusing on automation, quality, and observability for employee lifecycle solutions.
Azure Data Engineer
Design and build scalable Azure Databricks and Data Factory pipelines for HR analytics, using Python/Scala and Spark to automate data workflows and ensure quality.
Senior Spark/Scala Data Engineer — Lead Pipelines (Hybrid)
Leads and builds scalable data pipelines using Spark and Scala for a consulting firm, optimizing workflows and mentoring teams in a hybrid Warsaw office.
Copy of Data Engineer
Build and maintain scalable ETL pipelines and data models using Spark, Scala, and cloud storage, then deliver clean data to analytics teams via BI tools like Databricks and Power BI.
Senior Data Engineer: Build Scalable Pipelines & Insights
Senior Data Engineer builds and optimizes scalable data pipelines in Python/Scala to deliver high-quality insights for a global entertainment platform.
Senior Data Engineer Gdansk
Build and maintain scalable ETL/ELT pipelines and cloud-native data architectures using Python, Spark, and cloud platforms (AWS/Azure/GCP) to power analytics and ML for global clients.
senior data engineer
Senior data engineer builds and maintains data pipelines using Databricks, Python, and SQL to support banking analytics and cloud migration at a top Polish bank.
Snowflake Data Engineer
Design and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Senior Data Engineer
Senior Data Engineer builds scalable data pipelines and analytics solutions on GCP to enable data-driven decisions across Bunge’s global agribusiness operations.
Databricks Data Engineer
Build and maintain large-scale data pipelines on Databricks using Python, PySpark, and cloud-native tools to process and deliver clean data for analytics and AI workloads.
Data Engineer - Warsaw
Design and maintain scalable data pipelines in Databricks/AWS, process large datasets via Spark, and build web-scraping tools to feed AI-driven analytics and insights.
Senior Data Platform Engineer (DevOps)
Build and maintain cloud-based data platforms and pipelines using AWS/Azure/GCP, orchestration tools, and data processing services to enable scalable analytics and ML operations.
PL - Data Engineer
Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to support analytics and BI tools like Databricks and Power BI.
Data Engineer | TMB
Build and maintain data pipelines, ETL processes, and data lakes using GCP, Spark, Kafka, and SQL to ensure reliable data flow for analytics and reporting.