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 ARE Target 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 tools Soft skills • Problem-solving mindset and analytical thinking • Proactivity and ownership • Ability to work in collaborative environments • Clear communication skills YOU 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 HR Diversity & Inclusion Reply is committed to fostering an inclusive environment and ensuring a fair and accessible recruitment process, in line with current regulations (L.68/99). If any support is needed during the selection process, it can be requested at any stage.

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