Join Us: Data Engineering to unlock value from Data (Milano-Torino)

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.

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