As a Senior GCP & Python Data Engineer , you will be working for our client, a major player within the financial sector supporting innovative data platform initiatives. The role involves designing and maintaining advanced cloud data pipelines, integrating AI/ML models, and collaborating in an agile environment to deliver cutting-edge data solutions that foster smarter decision-making and operational excellence.
Your main responsibilities:
Design, build, and optimize end-to-end batch and streaming data pipelines (ELT/ETL) on GCP to handle large, diverse data sources.
Develop scalable data models and schemas (star, snowflake, data lake, data warehouse) utilizing BigQuery, Cloud Storage, Dataflow, and DataProc.
Write robust Python code for data transformations, automation, and quality checks, ensuring high-performance processing.
Collaborate on deploying and operationalizing AI/ML models and integrating feature stores within cloud pipelines.
Implement orchestration, scheduling, and workflow automation using Cloud Composer (Airflow) and Control-M.
Embed testing, validation, and monitoring practices to maintain data quality, security, and compliance (GDPR, IAM, encryption).
Contribute to technical documentation, data dictionaries, and runbooks in both French and English.
Participate actively in agile ceremonies, code reviews, and cross-team collaboration with data engineers, scientists, analysts, and stakeholders.
You're ideal for this role if you have:
Minimum 5 years of experience in data engineering or related fields.
Proficiency in Python development, including design patterns, performance tuning, and testing.
Deep knowledge of SQL and data modeling (relational and NoSQL).
Excellent command of French (C1 minimum) and fluency in English.
Experience with data governance, security, and privacy frameworks within cloud environments.
It is a strong plus if you have:
GCP Professional Data Engineer certification.
Experience deploying and monitoring AI/ML models using Vertex AI.
Knowledge of enterprise orchestration tools such as Control-M.
Familiarity with Spark/Databricks, Kafka streaming, and BI tools like Looker or Tableau.
Experience in regulated financial or banking environments.
Language Required for the role:
French (C1 minimum preferred)
Fluent English
Eligibility for the role:
Only candidates with an existing legal right to work in Europe will be considered for this role.
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