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ABOUT US: The Live Data Services team is the heart of our live data ecosystem, gathering, validating, processing, and delivering live sports data for more than 30 sports to customers worldwide. You will be a key…
Builds and deploys production-grade ML models and pipelines for retail commerce, focusing on classical ML/deep learning; collaborates with a teammate on technical execution while leveraging cloud platforms like Databricks, AWS, Azure, or GCP.
Analyzes customer behavior in loyalty programs and automates data processes using Databricks and Looker to drive data-driven decisions for CRM and marketing teams.
The Data Analyst will analyze digital commerce performance data (e.g., marketplace vs. retail) to drive business decisions, using tools like Databricks and Looker, and integrate AI tools into the analytics workflow.
The role involves performing manual and exploratory testing for a retail-focused mobile app, gradually shifting to designing and maintaining automated test suites. Core technologies include Playwright, Cypress, REST APIs, and scripting in TypeScript/JavaScript/Java/Python/C#.
Builds and maintains internal developer tools/platforms (Node.js/Vue.js) to automate workflows, improve system visibility, and boost engineering productivity in a large retail-tech environment.
Builds and maintains internal developer platforms, tools, and services to enhance developer productivity, system visibility, and workflow automation using Node.js, Vue.js, and cloud technologies in a large enterprise environment.
We are looking for a Google Workspace Engineer who wants to take ownership of enterprise collaboration support and contribute to the evolution of modern workplace environments. You will work within an international…
Designs and scales core backend systems for assortment management in a large retail ecosystem, focusing on event-driven architectures, microservices, and AWS/Kubernetes deployments.
Develops and maintains Salesforce-based solutions for a retail-focused digital platform, focusing on configuration, custom development, and integrations to support omnichannel commerce and customer service operations.
Builds and scales AI-driven workflow automation for OBI’s retail platforms, bridging cloud infrastructure (AWS, K8s) with business teams to adopt production-grade automation and agentic systems.
Team Manager – Dywizja SSC/BPO Lokalizacja: Warszawa Model pracy: hybrydowy (2 dni zdalnie) Forma współpracy: UoP Dołącz do Antal – lidera innowacji w rekrutacji W Antal nieustannie rozwijamy procesy rekrutacyjne, aby…
Czym będziesz się zajmować? Opis projektu: Budowa systemu do likwidacji szkód (SLS). Szukamy specjalisty o seniorskim doświadczeniu i kompetencjach, który swoim udziałem w projekcie od momentu dołączenia wniesie…
Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity…
Develops and maintains large-scale distributed systems and infrastructure for Google’s Health and Home products, focusing on scalable serving, APIs, data services, and AI integration to enhance user experiences across devices and platforms.
Manages automotive software testing projects and client relationships for an international provider, liaising between clients and testing teams.
A senior business analyst/consultant bridges business stakeholders and tech teams to design scalable supply chain solutions using data analytics and AI, focusing on logistics, transportation, and warehousing. Daily tasks include RFP responses, process mapping, stakeholder management, and solution presentations for supply chain transformation projects.
A senior web developer leads the design and optimization of personalized digital journeys on Check Point’s WordPress-based websites, creating landing pages, emails, and marketing assets while leveraging data-driven A/B testing and analytics tools to improve user engagement and retention across global teams.
Builds and maintains data pipelines using Kafka, Spring Boot, and MongoDB, and supports GraphQL APIs and observability tools like Prometheus and Grafana.
Build and scale PostHog’s high-throughput event ingestion pipeline handling billions of events daily, using Node.js/Rust, Kafka, PostgreSQL, ClickHouse, and Redis.
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