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Sopra Steria

IT consulting, digital services, and transformation

Cloud Data Engineer - Data & AI

Data EngineeringConfirmed live in the last 24 hours
Full-timeAssago, Italy€33k - €44k /yr

About the Job

Requirements

  • A degree in Computer Science, Engineering, Mathematics, Statistics, or Physics.
  • Two to three years of experience as a Data Engineer in a structured business or consulting environment.
  • Ability to work independently and manage project activities in line with deadlines.
  • Analytical approach and problem-solving ability.
  • Strong interpersonal skills and ability to collaborate in multidisciplinary and multicultural teams.
  • Interest in emerging technologies and motivation to deepen knowledge of AI, Generative AI, and Agentic AI.
  • Good knowledge of English.
  • Experience with Google Cloud Platform, particularly BigQuery, Cloud Storage, Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Experience with AWS, particularly Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, and Amazon Redshift.
  • Strong knowledge of SQL.
  • Proficiency in at least one of Python, Go, Node.js, or C/C++.
  • Experience with workflow orchestration tools such as Apache Airflow or Cloud Composer.
  • Knowledge of Git, code versioning, and CI/CD pipelines.

Responsibilities

  • Design and develop scalable, reliable, and secure ETL/ELT pipelines on Google Cloud Platform and AWS.
  • Implement data ingestion, integration, and processing in both batch and real-time streaming modes.
  • Manage and optimize Data Warehouse and Data Lake ecosystems, particularly BigQuery, Amazon Redshift, and Amazon Athena.
  • Collaborate with Data Science and Artificial Intelligence teams to integrate Machine Learning models and support solutions based on Generative AI and agentic systems.
  • Ensure data quality, security, and compliance throughout the data lifecycle, applying data governance and information protection practices.
  • Automate deployments and operational processes using Infrastructure as Code tools, monitoring, and CI/CD pipelines.
  • Contribute to the evolution of clients’ cloud architectures and data platforms.

Desired Qualifications

  • Knowledge of Generative AI paradigms and technologies, including Large Language Models, Retrieval-Augmented Generation, and vector databases.
  • Experience with frameworks for developing agentic applications and orchestrating Large Language Models, such as LangChain, LlamaIndex, CrewAI, or AutoGen.
  • Experience with complex data migration projects, multi-cloud integrations, or legacy-system modernization.
  • Knowledge of data security, encryption, and re-encryption processes.
  • Experience with Infrastructure as Code tools such as Terraform.
  • Cloud certifications such as Google Cloud Professional Data Engineer, AWS Certified Data Engineer, or equivalent Data and Cloud certifications.

About the Company

Sopra Steria

IT consulting, digital services, and transformation

Sopra Steria provides consulting, digital services and solutions to help large organizations transform their business through technology. Its offerings cover strategy, systems integration, cloud, cyber security, software development, and managed services, designed to be delivered end to end—from assessing needs and designing a plan to implementing and operating IT systems. The company combines deep knowledge of many industries with a collaborative approach to tailor projects to each client and to deliver measurable, sustainable improvements in performance. Differentiators include its European scale (about 51,000 employees across roughly 30 countries), broad scope—from strategy to operation—and emphasis on practical outcomes that help clients stay competitive. The group’s goal is to put digital to work for its clients in a way that creates a positive, more productive future for all stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1968

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