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Build and maintain scalable data ingestion pipelines and microservices using Java, Spark, and Spring Boot to power ING’s data lake for analytics and compliance.
Build and deploy ML models and data pipelines for a financial-services client’s new AI practice using Python, Spark, Hadoop, and SQL.
Senior Data Engineer/ML Engineer builds and deploys ML models and pipelines in a banking context using Python, Spark, and AWS services like SageMaker and Glue.
Build and maintain data pipelines, AI models, and transformations using GCP, Dataiku, Python, and SQL to turn raw data into business insights for enterprise clients.
Senior Big Data Engineer builds and maintains scalable data pipelines using Scala, Spark, and Kubernetes to process large datasets and generate reports for enterprise clients.
Senior Data Engineer builds and scales data pipelines for Tesco’s fulfillment operations, optimizing order and delivery data to improve logistics and delivery efficiency using Spark, Hive, and Airflow.
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
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.
Data Engineer Intern builds and enhances data models and predictive systems using SQL, Python, Spark, and cloud platforms like Azure, while collaborating with data teams and business stakeholders.
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.
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.
Lead a team to design and build scalable data pipelines using Spark/Scala, Airflow, and cloud platforms, while mentoring engineers and ensuring regulatory compliance.
Builds and optimizes data pipelines for retail order and delivery systems using Spark, HDFS, and Airflow to ensure data integrity and support analytics teams.
Build and maintain scalable data pipelines for Tesco’s fulfillment operations, processing order and delivery data to optimize logistics and support analytics teams.
Builds and optimizes distributed data pipelines using Apache Spark (Python/Scala) to process large datasets for enterprise clients.
Lead a team to design and build scalable data platforms (Data Lakes, pipelines) using Python, SQL, Spark, and GCP, while mentoring engineers and aligning architecture with business needs.
Build and maintain data pipelines, warehouses, and lakes using SQL, Python, Spark, and cloud platforms to power analytics and AI products.
Designs and builds cloud-based data pipelines and ETL workflows on Azure or GCP, using Python/Java/Scala, Spark, Kafka, and Airflow to modernize and migrate enterprise data systems.
Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to power analytics and BI tools like Databricks and Power BI.
Build and optimize Apache Spark data pipelines and SQL queries for financial and logistics clients in a hybrid Warsaw role.
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