Join Us: Data Engineering to unlock value from Data
Pubblicato il 20-09-2026 - Target Reply in Pavia
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.