Veja vagas remotas de AWS que aceitam candidatos em Polônia.
Esta página reúne vagas remotas abertas para candidatos em Polônia. Isso evita perder tempo com posições que parecem remotas, mas restringem contratação por país, fuso horário, folha de pagamento ou política interna.
Use AWS como filtro de stack sem alterar os nomes originais dos cargos, comparando senioridade, países aceitos e prontidão para aplicação.
Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Teravision Technologies · Data Science
Fully remote position.
Intetics
Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
blueworks AG · Data Science
are the core components of our service offerings. With a balanced view of strategy, people, process and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies
GOAT Group · Data Science
Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards
3Pillar Global · Data Science
Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.
Nexer Group
5+ years of experienceas a Data Engineering (designing and maintaining data pipelines, data quality, reliability).
Robots & Pencils · Data Science
Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
Exadel
Review available data sources, access patterns, interfaces, and integration options
Valtech
The work we do and the innovation we drive
AB InBev · Data Science
Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.
Affirm · Financial Platforms - Engineering
Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives.
MongoDB · Solutions Consulting
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
Grafana Labs · R&D: Second Horizon
Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.
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