About Sopra Steria
Sopra Steria is one of Europe’s leading technology companies, with 51,000 employees across approximately 30 countries. It provides consulting, digital services and IT solutions, supporting clients in their digital transformation. In Italy, Sopra Steria has approximately 1,200 employees and offices including Assago, Rome, Collecchio, Padua, Ariano Irpino and Pozzuoli.
Your role
You will join the Data Analytics & AI team, contributing to the design, implementation and evolution of modern data architectures in cloud environments. You will work on digital transformation, migration and data valorisation initiatives alongside Data Engineers, Data Scientists and AI specialists.
- Design and develop scalable, reliable and secure ETL/ELT pipelines on Google Cloud Platform and AWS.
- Implement data acquisition, integration and processing in batch and real-time streaming modes.
- Manage and optimise Data Warehouse, Data Lake and Lakehouse ecosystems, including BigQuery, Amazon Redshift, Amazon Athena and preferably Databricks.
- Collaborate with Data Science and Artificial Intelligence teams to integrate Machine Learning models and support Generative AI and agentic systems.
- Ensure data quality, security and compliance throughout the data lifecycle.
- Automate deployments and operational processes using Infrastructure as Code, monitoring and CI/CD pipelines.
- Contribute to the evolution of clients’ cloud architectures and data platforms.
Your profile
- Degree in Computer Science, Engineering, Mathematics, Statistics, Physics or a related discipline.
- 2 to 3 years of experience as a Data Engineer in structured companies or consulting environments.
- Ability to work independently and manage project activities within deadlines.
- Analytical and problem-solving approach.
- Strong interpersonal skills and ability to collaborate in multidisciplinary and multicultural teams.
- Interest in emerging technologies and motivation to develop expertise in AI, GenAI and Agentic AI.
- Good knowledge of English.
- Knowledge of modern data engineering and analytics platforms such as Databricks is preferred.
Required skills
- Google Cloud Platform, particularly BigQuery, Cloud Storage, Cloud Dataflow, Cloud Pub/Sub and Cloud Composer.
- AWS, particularly Amazon S3, AWS Glue, Amazon Athena, AWS Lambda and Amazon Redshift.
- Excellent SQL knowledge.
- Good command of at least one of Python, Go, Node.js or C/C++.
- Workflow orchestration tools such as Apache Airflow or Cloud Composer.
- Git, code versioning and CI/CD pipelines.
Desirable skills
- Databricks, Apache Spark and cloud data engineering patterns.
- Generative AI technologies including LLMs, RAG and vector databases.
- Agentic application and LLM orchestration frameworks such as LangChain, LlamaIndex, CrewAI and AutoGen.
- Complex data migration, multi-cloud integration or legacy modernisation projects.
- Data security, encryption and re-encryption processes.
- Infrastructure as Code tools such as Terraform.
- Cloud certifications including Google Cloud Professional Data Engineer, AWS Certified Data Engineer or Databricks Certified Data Engineer.
What we offer
You will work in a dynamic environment on national and international projects, with opportunities to continuously develop your knowledge and skills. The gross annual salary for this position is €33,000–€40,000. The workplace is in Assago (MI), with travel within Italy and internationally required.