Data Engineer (Python/AWS)
Pubblicato il 06-08-2026 - Target Reply in Torino
Join Us: Data Engineering to Unlock Value from Data (Milano-Torino) Si candidi (facendo clic sul pulsante apposito) dopo aver controllato tutte le informazioni di lavoro riportate di seguito. question = "Are you a Data Lover? " 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.
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. 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.
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. You collaborate in cross-functional teams, contributing to architectural decisions and ensuring high-quality delivery in complex environments. 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) Familiarity with data orchestration and workflow tools You work in agile teams with real ownership, fast decision-making, and hands-on experience. 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.
You continuously grow your skills in an environment focused on innovation and emerging technologies. xrdztoy Technical interview with data specialists • 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.