Data Engineer – Cloud & AI Solutions

Stack

Responsibilities

• ▹Design and develop scalable, reliable and secure ETL/ELT pipelines on Google Cloud Platform (GCP) and AWS
• ▹Implement data ingestion, integration and processing in both batch and real-time streaming modes
• ▹Manage and optimize data warehouse, data lake and modern lakehouse ecosystems (BigQuery, Amazon Redshift, Amazon Athena and preferably Databricks)
• ▹Work with the Data Science and AI teams to integrate machine learning models and support solutions based on generative AI and agentic systems
• ▹Ensure data quality, security and compliance across the whole lifecycle, applying governance and data protection best practices
• ▹Automate deployment and operations with Infrastructure as Code tools, monitoring and CI/CD pipelines
• ▹Take an active part in evolving clients' cloud architectures and data platforms

Requirements

• ▹University degree in Computer Science, Engineering, Mathematics, Statistics, Physics or a related field
• ▹2 to 3 years of experience as a Data Engineer in structured corporate or consulting settings
• ▹Experience on Google Cloud Platform: BigQuery, Cloud Storage, Cloud Dataflow, Cloud Pub/Sub, Cloud Composer
• ▹Experience on AWS: Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, Amazon Redshift
• ▹Excellent SQL
• ▹Good command of at least one programming language: Python (preferred), Go, Node.js, C/C++
• ▹Experience with workflow orchestration tools such as Apache Airflow or Cloud Composer
• ▹Knowledge of Git, version control and CI/CD pipelines
• ▹Good knowledge of English
• ▹Interest in AI, GenAI and Agentic AI

Nice to have

• ▹Knowledge or experience of the Databricks platform for data pipeline development, distributed processing and lakehouse architectures
• ▹Familiarity with Apache Spark and the main data engineering patterns in cloud environments
• ▹Knowledge of generative AI paradigms and technologies: Large Language Models (LLM), Retrieval-Augmented Generation (RAG), vector databases
• ▹Experience with frameworks for agentic applications and LLM orchestration such as LangChain, LlamaIndex, CrewAI, AutoGen
• ▹Experience in complex data migration projects, multi-cloud integrations or legacy modernization
• ▹Knowledge of data security, encryption and re-encryption processes
• ▹Experience with Infrastructure as Code tools such as Terraform
• ▹Cloud certifications: Google Cloud Professional Data Engineer, AWS Certified Data Engineer, Databricks Certified Data Engineer (Associate or Professional), or equivalent data and cloud certifications

Soft skills

What we offer

• ▹A dynamic environment with national and international projects
• ▹Continuous opportunities to deepen your knowledge and develop your skills
• ▹Gross annual salary (RAL) between 33,000 and 40,000 euros

About the company

Sopra Steria is one of Europe's major technology players, with 51,000 employees in around 30 countries, known for consulting, digital services and IT solutions. It reported revenue of 5.6 billion euros in 2025. In Italy it has about 1,200 people and 2025 revenue of 107.35 million euros, with offices in Assago (Milan), Rome, Collecchio, Padua, Ariano Irpino and Pozzuoli.