Financial Data Engineer Intern assisting with model integration and process automation at Transamerica. Focused on data engineering tasks with collaboration across IT and Finance teams.
About the role
- Data Engineer responsible for industrializing scalable AI solutions for a recognized French scale-up. Collaborating on data engineering projects, optimizing data pipelines, and mentoring junior engineers.
Responsibilities
- Industrialize scalable AI solutions
- Develop high-volume data ingestion and transformation pipelines
- Implement data architectures in cloud or on-premises environments (data warehouses, data lakes, …)
- Contribute to the design and optimization of applications and architectures handling large volumes of data
- Contribute to leading an experienced team of data engineers
- Help grow the Data Engineering / MLOps practice
- Participate in code reviews with team members
- Take part in ceremonies and sprint reviews in direct contact with the client and our product teams
- Contribute to the evolution of our MLOps technical stack
- Contribute to the development of our Data Engineering division
- Contribute to cross-functional internal projects: research, ops, security, training, etc.
Requirements
- Advanced knowledge of at least one programming language (Java / Kotlin / Scala / Python)
- Advanced proficiency in SQL
- Good understanding of data processing solutions (queueing, streaming, batch processing, caching)
- Good understanding of data storage solutions (SQL/NoSQL databases, data warehouses, data lakes, data lakehouses)
- Experience with Git and continuous integration tools
- Experience with Docker
- Cloud data engineering certifications (Azure, GCP, AWS, Databricks, Snowflake) (Nice to have)
- Experience with MLOps / ML engineering tools (BentoML, ZenML, ClearML, MLflow, DVC, …) (Nice to have)
- Experience in Ops (Kubernetes, Terraform, Ansible, …) (Nice to have)
- Good understanding of web fundamentals (Nice to have)
- Unit, integration and load testing (Nice to have)
- Experience with a backend framework (Spring, Symfony, …) (Nice to have)
- Knowledge of AI / data science (machine learning, deep learning, NLP) (Nice to have)
- Basic UNIX & Bash knowledge (Nice to have)
- Interest in client relationship management (Nice to have)
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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