28 ago - Pavia
Target Reply
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.
29 ago - Roma
gej service srls
29 ago - Rimini
Phoenix Nexus
29 ago - Lecce
Fugu
29 ago - Bari
Siemens