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Builds and maintains distributed Spark/Scala pipelines on AWS to process large datasets in near real-time, enabling analytics and visualization for clients.
Designs and optimizes Snowpark and dbt workflows plus CI/CD pipelines for a data platform team in Poland.
Leads architecture of a scalable, AI-augmented data platform for healthcare, using Kafka, Kubernetes, AWS, and data modeling.
Designs and maintains the central data platform to support analytics and AI/ML initiatives using data processing frameworks.
Senior backend engineer designing and modernizing aviation data services and pipelines for airlines using Python or Java and production databases.
Lead the design and development of scalable data systems using Python, Spark, and AWS, setting engineering standards and collaborating with stakeholders.
Design and deploy AI/ML models to optimize global manufacturing operations using Industry 4.0 practices.
A technology company in Poland seeks a professional for development in the SAP financial domain, focusing on data modeling in SAP HANA Cloud. The role demands 2+ years of experience with SAP BODS and proficiency in…
Job Location WARSAW PLANT & GO Job Description Are you passionate about using data and technology to drive meaningful business impact? We are seeking an Data & Applications Engineer to support and enhance…
Builds AI-driven pricing models and PowerBI dashboards for AXA XL’s non-life insurance unit, transforming data into actionable analytics.
Builds and maintains real-time data infrastructure for robot fleet management using Redis, PostgreSQL, and Kubernetes pipelines.
Owns data pipelines and real-time analytics for an API-first ecommerce platform, transforming transactional data into scalable tables and APIs for global clients.
Designs, builds, and maintains scalable data infrastructure to support analytics and reporting at StepStone Group Polska.
Design and maintain a cloud-native data platform on AWS that enables self-service ingestion, governance, and access for teams.
Build and scale cloud-based data infrastructure at Asana, owning AWS/Databricks environments, ingestion pipelines, and internal tools to ensure reliable, timely data flow for analytics and reporting.
Senior Data Analytics Engineer builds and maintains a centralized data warehouse and scalable pipelines in BigQuery, reconciling financial sources and ensuring audit-ready data for stakeholders.
Build and own Centra Sweden’s new Data & Insights module by designing scalable, high-performance data pipelines and cloud-native systems using expert SQL skills.
Lead the design and delivery of cloud-native data and analytics platforms for enterprise customers, mentoring engineers and collaborating with Product and SRE teams.
Designs and builds secure, enterprise-grade data and AI platforms using Python, SQL, Git, and cloud services like Azure and AWS.
Designs and builds cloud-based data pipelines and platforms, enabling scalable data processing and ML model deployment across AWS/Azure/GCP.
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