ppDescrizione dell’offerta di lavoro /ph3Join Us: Data Engineering to Unlock Value from Data (Milano-Torino) /h3pAre you passionate about bbuilding data platforms and enabling AI-driven solutions /b? /ppAt Target Reply, you design and develop data systems that turn raw data into actionable insights and power advanced analytics and Artificial Intelligence. /ph3WHO WE ARE /h3pTarget Reply is a consulting company specialized in Analytics, Big Data, Data Science, Cloud Architectures, and Artificial Intelligence. bTarget Replys main goal is simple: get value from data. /b How? Leveraging the capabilities of our excellent people - and that means byour /b capabilities. /ppWorking at Target Reply means sitting at the table with tier-one customers across several industries, playing a first-level game. You will design and implement solutions based on modern data architectures and emerging technologies: bCloud-Native solutions, Real-Time Processing, Big Data, Artificial Intelligence, Machine Learning /b - thats our bread and butter. /ph3WHAT WILL YOU DO? /h3pCore activities: You design and implement end-to-end data pipelines, from ingestion to consumption. You contribute to building scalable data platforms that support analytics and AI use cases. /ppTechnologies: You work with Big Data frameworks, distributed storage systems, and cloud-native services (AWS, Azure, GCP). You use Python, Scala, or Java and integrate data solutions with AI/ML workflows. /ppAI integration: You enable AI-driven use cases by preparing, transforming, and serving data for Machine Learning models, real-time analytics, and intelligent applications. /ppTeam work: You collaborate in cross-functional teams, contributing to architectural decisions and ensuring high-quality delivery in complex environments.



/ph3WE’LL TOTALLY LOVE YOU IF YOU HAVE… /h3pAcademic background: A degree in Computer Science, Engineering, Mathematics, Statistics, or other data-related fields. /ph3Valuable expertise /h3ulliKnowledge or familiarity of data engineering and Big Data ecosystems /liliHands-on experience with Spark, Kafka, Java, Pyhton or Scala /liliFamiliarity with cloud platforms (AWS, Azure, or GCP) /liliUnderstanding of data modeling, data pipelines, and distributed systems /liliExposure to AI/ML workflows (data preparation, feature pipelines, model integration) /li /ulh3Nice to have /h3ulliKnowledge of real-time architectures and streaming pipelines /liliFamiliarity with data orchestration and workflow tools /li /ulh3Soft skills /h3ulliProblem-solving mindset and analytical thinking /liliProactivity and ownership /liliAbility to work in collaborative environments /liliClear communication skills /li /ulh3YOU WILL LOVE JOINING US BECAUSE… /h3pWe have a start-up heart: You work in agile teams with real ownership, fast decision-making, and hands-on experience. /ppBut we think globally: You contribute to international projects with leading clients across industries. /ppWe are data-driven: You work on cutting-edge solutions in data engineering, cloud, and AI, delivering real business impact. /ppWe never stop learning: You continuously grow your skills in an environment focused on innovation and emerging technologies. /ph3WHAT ARE THE NEXT STEPS /h3ulliTechnical interview with data specialists /liliFinal interview with HR /li /ulpDiversity Inclusion /ppReply is committed to fostering an inclusive environment and ensuring a fair and accessible recruitment process, in line with current regulations (L.68/99). /ppIf any support is needed during the selection process, it can be requested at any stage. /p /p #J-18808-Ljbffr

📌 Join Us: Data Engineering To Unlock Value From Data (Milano-Torino) (Bardi)
🏢 Target Reply
📍 Bardi