Join Us: Data Engineering to unlock value from Data
Pubblicato il 17-08-2026 - Target Reply in Provincia di Monza e della Brianza
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.
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