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)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaKotlinScalaPythonSQLdata processing solutionsdata storage solutionsMLOpsunit testingintegration testing

Soft Skills

leadershipteam collaborationclient relationship management

Certifications

cloud data engineering certifications