pstrongJoin Us: Data Engineering to Unlock Value from Data (Milano-Torino) /strong /ppbr / /ppstrongemquestion = "Are you a Data Lover? " /em /strong /ppstrongemanswer = input(question) /em /strong /ppstrongemif (answer.lower() == "yes"): /em /strong /ppstrongemprint("Target Reply is your place.") /em /strong /ppbr / /ppAre you passionate about strongbuilding data platforms and enabling AI-driven solutions /strong? /ppAt Target Reply, you design and develop data systems that turn raw data into actionable insights and power advanced analytics and Artificial Intelligence. /ppbr / /ppstrongWHO WE ARE /strong /ppTarget Reply is a consulting company specialized in Analytics, Big Data, Data Science, Cloud Architectures, and Artificial Intelligence. strongTarget Reply#39;s main goal is simple: get value from data. /strongHow? Leveraging the capabilities of our excellent people — and that means strongyour /strong 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: strongCloud-Native solutions, Real-Time Processing, Big Data, Artificial Intelligence, Machine Learning /strong — that#39;s our bread and butter. /ppbr / /ppstrongWHAT WILL YOU DO? /strong /ppstrong Core activities: /strongYou 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. /ppstrong Technologies: /strongYou 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. /ppstrong AI integration: /strong You enable AI-driven use cases by preparing, transforming, and serving data for Machine Learning models, real-time analytics, and intelligent applications. /ppstrong Team work: /strong You collaborate in cross-functional teams,



contributing to architectural decisions and ensuring high-quality delivery in complex environments. /ppbr / /ppstrong WE’LL TOTALLY LOVE YOU IF YOU HAVE… /strong /ppstrong Academic background: /strong A degree in Computer Science, Engineering, Mathematics, Statistics, or other data-related fields. /ppstrong Valuable expertise /strong /pp• Knowledge or familiarity of data engineering and Big Data ecosystems /pp• Hands-on experience with Spark, Kafka, Java, Pyhton or Scala /pp• Familiarity with cloud platforms (AWS, Azure, or GCP) /pp• Understanding of data modeling, data pipelines, and distributed systems /pp• Exposure to AI/ML workflows (data preparation, feature pipelines, model integration) /ppstrong Nice to have /strong /pp• Knowledge of real-time architectures and streaming pipelines /pp• Familiarity with data orchestration and workflow tools /ppstrong Soft skills /strong /pp• Problem-solving mindset and analytical thinking /pp• Proactivity and ownership /pp• Ability to work in collaborative environments /pp• Clear communication skills /ppbr / /ppstrongYOU WILL LOVE JOINING US BECAUSE… /strong /ppstrongWe have a start-up heart: /strong You work in agile teams with real ownership, fast decision-making, and hands-on experience. /ppstrongBut we think globally: /strong You contribute to international projects with leading clients across industries. /ppstrongWe are data-driven: /strong You work on cutting-edge solutions in data engineering, cloud, and AI, delivering real business impact. /ppstrongWe never stop learning: /strong You continuously grow your skills in an environment focused on innovation and emerging technologies. /ppbr / /ppstrong WHAT ARE THE NEXT STEPS /strong /pp• Technical interview with data specialists /pp• Final interview with HR /ppbr / /ppem Diversity Inclusion /em /ppem Reply is committed to fostering an inclusive environment and ensuring a fair and accessible recruitment process, in line with current regulations (L.68/99). /em /ppem If any support is needed during the selection process, it can be requested at any stage. /em /p

📌 Join Us: Data Engineering to unlock value from Data (Milano-Torino)
🏢 Target Reply
📍 Torino