Join Us: Data Engineering to unlock value from Data
Pubblicato il 22-08-2026 - Target Reply in Milano
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-re