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Lead the analytics strategy for data health at Netflix, defining metrics for trust, availability, and compliance while partnering with engineering and product teams to build scalable data foundations.
Principal/Lead Go Engineer architecting and building a high-volume distributed data platform, owning design decisions, performance, and reliability while mentoring teams and collaborating across Europe.
Designs and develops a Master Data Platform in Java to manage and integrate key demographic data, ensuring scalability, accuracy, and compliance with security/regulatory standards.
Senior Data Scientist builds reusable Python ML libraries and pipelines, ensuring scalable, maintainable workflows and production deployments.
Backend engineer owning end-to-end services in C# microservices, building high-scale data ingestion and processing pipelines that sync metadata with live sports video streams using Azure SQL and Kafka.
Lead quality engineering programs for micro-components in a cleanroom, driving Lean initiatives, audits, and data-driven decisions for prototypes and new products.
Design and operate scalable Java backend services powering real-time sports data and betting products at Sportradar in Warsaw, working with AWS, Kafka, and Kubernetes.
The Senior AI & Data Science Engineer will develop Python-based solutions for Global Finance, focusing on Generative AI and LLM implementation. The role involves researching AI techniques, managing multi-tier software stacks, and ensuring compliance with regulatory standards within a global team.
The Director of Finance Engineering & Data Platform will lead engineering teams to build data-centric architectures and financial platform integrations. This role focuses on technical strategy, governance, and security within a regulated fintech environment.
The Analytics Engineer will lead data health strategy for Netflix's Enterprise Data Science & Engineering team in Warsaw. The role involves defining measurement frameworks, building data models and dashboards, and collaborating with cross-functional teams to ensure the health and visibility of the company's data ecosystem.
Fetcherr is seeking a Customer Support Engineer with a strong data background to assist clients and resolve data-related issues on the Fetcherr platform. Based in Warsaw, you will work five days a week with shifts…
HEINEKEN Global Shared Services Kraków is seeking a Technology Specialist Data Mapping to drive automated data mapping and ML-driven matching within our Data Mapping Chapter. You will design, build, and operate backend…
The Platform Engineer will design, maintain, and automate scalable cloud infrastructure on Microsoft Azure to support global analytics, data, and AI initiatives. The role involves managing CI/CD pipelines, optimizing system performance, and implementing security controls using tools like Terraform, Python, and various Azure services.
The Senior Big Data Engineer will design and maintain scalable data pipelines and integration solutions on Google Cloud Platform for a healthcare client. The role involves working with technologies like BigQuery, Dataflow, and Terraform to support enterprise data platforms and modern data architectures.
The Data Platform Engineer & Analyst will design and develop data processing and integration mechanisms within an event-driven architecture for a banking client. The role requires expertise in Java, Spring, and Kafka to build robust data platforms.
Build and maintain cloud-based data pipelines and distributed systems using Java, Python, Spark, and Snowflake, with a focus on Gen AI/ML applications.
The Senior Data Engineer will design and implement scalable backend microservices and data pipelines to support AI-driven investment services. The role involves collaborating with Data Science and Product teams, maintaining CI/CD processes, and mentoring team members.
Cosmose AI is looking for a hands-on Data Engineering Tech Lead in Warsaw to architect scalable data platforms and lead a team of engineers. The role involves setting technical direction and building robust data pipelines using Python or Java.
The Data Engineer will build and maintain data pipelines within the Azure ecosystem using PySpark and Azure Databricks to support payroll operations. This role involves integrating data from various sources and collaborating with business stakeholders in an Agile environment.
Build and scale a high-availability data ingestion pipeline handling billions of daily events, integrating on-prem systems with Google Cloud Platform using Scala/Java and big-data tools.
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