Join Us: Data Engineering to Unlock Value from Data (Milano-Torino)question = "Are you a Data Lover? "answer = input(question)if (answer.lower() == "yes"):print("Target Reply is your place.")Are you passionate about building data platforms and enabling AI-driven solutions?At Target Reply, you design and develop data systems that turn raw data into actionable insights and power advanced analytics and Artificial Intelligence.WHO WE ARETarget Reply is a consulting company specialized in Analytics, Big Data, Data Science, Cloud Architectures, and Artificial Intelligence. Target Reply's main goal is simple: get value from data. How? Leveraging the capabilities of our excellent people — and that means your capabilities.Working 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: Cloud-Native solutions, Real-Time Processing, Big Data, Artificial Intelligence, Machine Learning — that's our bread and butter.WHAT WILL YOU DO?Core 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.Technologies: 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.AI integration: You enable AI-driven use cases by preparing, transforming, and serving data for Machine Learning models, real-time analytics, and intelligent applications.Team work: You collaborate in cross-functional teams,



contributing to architectural decisions and ensuring high-quality delivery in complex environments.WE'LL TOTALLY LOVE YOU IF YOU HAVE...Academic background: A degree in Computer Science, Engineering, Mathematics, Statistics, or other data-related fields.Valuable expertise• Knowledge or familiarity of data engineering and Big Data ecosystems• Hands-on experience with Spark, Kafka, Java, Pyhton or Scala• Familiarity with cloud platforms (AWS, Azure, or GCP)• Understanding of data modeling, data pipelines, and distributed systems• Exposure to AI/ML workflows (data preparation, feature pipelines, model integration)Nice to have• Knowledge of real-time architectures and streaming pipelines• Familiarity with data orchestration and workflow toolsSoft skills• Problem-solving mindset and analytical thinking• Proactivity and ownership• Ability to work in collaborative environments• Clear communication skillsYOU WILL LOVE JOINING US BECAUSE...We have a start-up heart: You work in agile teams with real ownership, fast decision-making, and hands-on experience.But we think globally: You contribute to international projects with leading clients across industries.We are data-driven: You work on cutting-edge solutions in data engineering, cloud, and AI, delivering real business impact.We never stop learning: You continuously grow your skills in an environment focused on innovation and emerging technologies.WHAT ARE THE NEXT STEPS• Technical interview with data specialists• Final interview with HRDiversity & InclusionReply is committed to fostering an inclusive environment and ensuring a fair and accessible recruitment process, in line with current regulations (L.*****).

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