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

Join Us: Data Engineering to Unlock Value from Data (Milano-Torino)

Scorra verso il basso per una panoramica completa dei requisiti di questo lavoro. È la persona giusta per questa opportunità?

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 Replys 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 — thats 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. xysqume

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.