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Visie & strategie: Je bent eigenaar van de marketingstrategie en campagnekalender voor Nederland. Op basis van marktanalyses, klantinzichten en lokale trends ontwikkel je campagnes die relevant zijn voor de…
Build and maintain scalable data pipelines and warehouses for a fast-growing mobility app, using Python, Spark, Kafka, and cloud data warehouses like Snowflake.
Vision & Strategy: Own the marketing campaign calendar for the Netherlands, using market analysis, consumer insights, and trends to build high-impact strategies. Act as the ultimate local guardian of our brand,…
Build and optimize Google Cloud’s managed Apache Spark service, enabling fast, cost-efficient data analytics and ML workloads for enterprise users.
Machine Learning Engineer (hybrid, Warsaw) building production-grade Python ML applications, MLOps pipelines on GCP/Azure, model-serving systems, and GenAI/LLM deployments for Harvey Nash Technology's clients.
Build and optimize a company-wide Data Lakehouse using Spark, Iceberg, and Hadoop to centralize B2C data, focusing on high-load batch and streaming pipelines.
Lead the architecture and evolution of PlayStation’s real-time data platform, building scalable streaming analytics with Flink, Spark, ClickHouse, and Kafka to power low-latency analytics and AI-driven automation.
Analytics Engineer building and maintaining data pipelines, ETL processes, and big data infrastructure using Python, PySpark, Airflow, Kubernetes, and SQL.
The Senior Machine Learning Engineer will develop and optimize real-time navigation, routing, and ETA algorithms for Grab's logistics and mobility platform. The role involves building scalable data pipelines, creating perception models for traffic events, and utilizing large-scale user trajectory data.
Builds and maintains data pipelines, master data systems, and integration flows for a fashion retail group, using Python, SQL, and modern data tools.
Lead a greenfield data platform, build scalable pipelines, and embed AI across the data lifecycle for a hospitality-focused SaaS provider.
Som Leder av Business Support i Rentokil Initial får du det overordnede ansvaret for å lede, forme og videreutvikle en av våre aller viktigste funksjoner. Vårt hårete mål er å ha Norges beste kundeservice. For å lykkes…
Обязанности: Разворачивать, настраивать и сопровождать компоненты кампейн-платформы во всех окружениях (dev / test / prod) на Linux-серверах. Развивать интеграционный слой: API, коннекторы к каналам коммуникации,…
Lead a Vietnam-based engineering team building and operating Grab's real-time stream processing platform (Apache Flink, Kafka, CDC), focusing on self-service capabilities, production reliability, and team growth.
Develops and optimizes large-scale data pipelines using Scala/Python/PySpark on Databricks/Azure, designing cloud-native Data Lakehouse architectures and ensuring scalable data processing, query efficiency, and cost optimization.
Madrid, Spain / Valencia, Spain / Bilbao, SpainInformation Technology /Regular Full Time /On-siteWho you are:You are a customer-focused, data-driven developer who has a passion for delivering the best customer…
Senior Java Backend Engineer designing and implementing Java 21/Spring Boot microservices, building stream processing with Flink, and working with Kafka for high-volume data in a multi-tenant environment, collaborating with QA and engineering teams.
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
Build and improve Amazon MSK, a fully managed Apache Kafka service, contributing to open-source Kafka while designing scalable streaming features for millions of transactions per second.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
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