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Build and maintain data pipelines and ETL processes to support AI agents and ML workflows, ensuring reliability, security, and compliance for healthcare-focused AI initiatives.
Netguru is a trusted partner in digital commerce. The company helps leading brands modernize B2B solutions, marketplaces, and retail ecosystems. Since 2008, it has empowered businesses with cutting-edge technology,…
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 builds and maintains cloud-based ETL pipelines and data architectures using Python, Spark, and cloud platforms to power analytics and ML for global clients.
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.
Designs and builds scalable data pipelines on Google Cloud using BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
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.
Design and build scalable data pipelines and analytics platforms for chemical manufacturing, enabling predictive maintenance, optimization, and AI-driven solutions using Python, Databricks, and cloud technologies.
Senior full-stack engineer revamping Netflix’s partner-facing web apps to improve reliability and usability, using JavaScript/TypeScript, React, and backend services in a microservices environment.
Lead a team building scalable web apps with React/TypeScript and integrate AI features into Agoda’s travel platform.
Build and maintain big-data pipelines and cloud infrastructure to process compliance-approved alternative datasets for investment research using Python, Spark/Scala, and visualization tools.
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
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.
Designs and builds scalable data pipelines on Google Cloud, focusing on BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
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.
Designs and maintains scalable data pipelines using Python/Scala, Spark, and SQL on Azure/Databricks to support analytics and reporting.
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
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.
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Leads and builds scalable data pipelines using Spark and Scala for a consulting firm, optimizing workflows and mentoring teams in a hybrid Warsaw office.
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