pbJoin Us: Data Engineering to Unlock Value from Data (Milano-Torino) /b /ppbr/ppbquestion = "Are you a Data Lover?
" /b /ppbanswer = input(question) /b /ppbif (answer.lower() == "yes"): /b /ppbprint("Target Reply is your place.
") /b /ppbr/ppAre you passionate about bbuilding data platforms and enabling AI-driven solutions /b?
/ppAt Target Reply, you design and develop data systems that turn raw data into actionable insights and power advanced analytics and Artificial Intelligence.
/ppbr/ppbWHO WE ARE /b /ppTarget Reply is a consulting company specialized in Analytics, Big Data, Data Science, Cloud Architectures, and Artificial Intelligence.
bTarget Reply's main goal is simple: get value from data.
/bHow?
Leveraging the capabilities of our excellent people — and that means byour /b capabilities.
/ppWorking 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: bCloud-Native solutions, Real-Time Processing, Big Data, Artificial Intelligence, Machine Learning /b — that's our bread and butter.
/ppbr/ppbWHAT WILL YOU DO?
/b /ppb Core activities: /bYou 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.
/ppb Technologies: /bYou 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.
/ppb AI integration: /b You enable AI-driven use cases by preparing, transforming, and serving data for Machine Learning models, real-time analytics, and intelligent applications.
/ppb Team work: /b You collaborate in cross-functional teams,



contributing to architectural decisions and ensuring high-quality delivery in complex environments.
/ppbr/ppb WE'LL TOTALLY LOVE YOU IF YOU HAVE... /b /ppb Academic background: /b A degree in Computer Science, Engineering, Mathematics, Statistics, or other data-related fields.
/ppb Valuable expertise /b /pp• Knowledge or familiarity of data engineering and Big Data ecosystems /pp• Hands-on experience with Spark, Kafka, Java, Pyhton or Scala /pp• Familiarity with cloud platforms (AWS, Azure, or GCP) /pp• Understanding of data modeling, data pipelines, and distributed systems /pp• Exposure to AI/ML workflows (data preparation, feature pipelines, model integration) /ppb Nice to have /b /pp• Knowledge of real-time architectures and streaming pipelines /pp• Familiarity with data orchestration and workflow tools /ppb Soft skills /b /pp• Problem-solving mindset and analytical thinking /pp• Proactivity and ownership /pp• Ability to work in collaborative environments /pp• Clear communication skills /ppbr/ppbYOU WILL LOVE JOINING US BECAUSE... /b /ppbWe have a start-up heart: /b You work in agile teams with real ownership, fast decision-making, and hands-on experience.
/ppbBut we think globally: /b You contribute to international projects with leading clients across industries.
/ppbWe are data-driven: /b You work on cutting-edge solutions in data engineering, cloud, and AI, delivering real business impact.
/ppbWe never stop learning: /b You continuously grow your skills in an environment focused on innovation and emerging technologies.
/ppbr/ppb WHAT ARE THE NEXT STEPS /b /pp• Technical interview with data specialists /pp• Final interview with HR /ppbr/pp Diversity Inclusion /pp Reply is committed to fostering an inclusive environment and ensuring a fair and accessible recruitment process, in line with current regulations (L.*****).
/pp If any support is needed during the selection process, it can be requested at any stage.
/p

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