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

question = "Are you a Data Lover? "
Si candidi ora: legga i dettagli del lavoro scorrendo verso il basso. Verifichi di possedere le competenze necessarie prima di inviare la candidatura.
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. 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.

📌 Join Us: Data Engineering To Unlock Value From Data (Milano-Torino) (Italia)
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