Target Reply · Remote, Italia ·


Descrizione dell'offerta

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.

Candidatura e Ritorno (in fondo)

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