Are you experienced in data engineering and cloud-based solutions? Join our dynamic and forward-thinking team as a Senior Data Engineer. In this role, you will play a pivotal part in the transformation of our data platform, leading the migration of our ETL workflows from a SAS platform to the Google Cloud (GCP). In addition to ensuring a smooth migration process, you will take on software architecture responsibilities, driving product development, future enhancements, and optimization across both the backend and frontend.
responsibilities :
Cloud Migration: Lead and execute the migration of ETL processes and workflows from the SAS platform to Google Cloud Platform, ensuring high performance and minimal disruption.
Code Optimization: Collaborate with AI tools to translate SAS code into efficient cloud-native code, optimizing it for scalability, performance, and maintainability.
Architectural Leadership: Design and implement a modern, robust, and scalable data platform, serving as a technical architect for key projects and long-term initiatives.
Product Enhancement: Contribute to the wider lifecycle of product development, identifying opportunities for functional improvements, enhancements, and innovations on both back-end and front-end systems.
API Development: Design and build interfaces between data storage and the data transformation engine in the form of scalable and secure APIs that enable seamless data flow and integration.
Technology Trends: Stay updated with the latest developments in data engineering, cloud computing, and frontend technologies, driving adoption of best practices.
Team Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software developers, to deliver high-quality solutions that support our business goals.
requirements-expected :
Very good knowledge of data pipeline orchestration (design and architecting scalable, cloud-native data pipelines for data transformation and aggregation based on business use cases).
Very good knowledge of GCP (or other Cloud) and creating Cloud based architecture (BigQuery, Dataproc, Composer)
Very good knowledge of Python and SQL. Ideally also with experience in the usage of Procedural SQL.
Very good knowledge of API (understanding of how frontend apps interact with backend APIs in a full-stack environment)
Good knowledge of Bitbucket and CI/CD solutions
Good knowledge of IaC (Terraform)
Familiarity with AI tools for code migration and optimization (e.g., AI-driven transformation tools or IDE plugins leveraging machine learning).
English level B2
offered :
Friendly and multicultural environment
26 days of holiday from the very beginning
benefits :
private medical care
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
integration events
corporate sports team
retirement pension plan
preferential loans
no dress code
video games at work
coffee / tea
leisure zone
pre-paid cards
redeployment package
employee referral program
extra leave
Multisport
Skills@Work - personal & professional development program
Employee Assistance Program (psychological support)
