Sr Data Engineer (Remote)

Our client is a company that specializes in the Out-of-Home sector. It is backed by over 50 years of experience, shaped by the unique challenges and opportunities of this field. Its team of experts serves as a valuable partner in driving growth and excellence.

The initiative is designed to support and promote local bistros by bridging the quality of suppliers, outlet authenticity, and consumer loyalty. The company’s culture of innovation is reflected in its Plug & Play solution, which easily integrates with outlet POS systems for smooth and secure data collection.

The company’s ability to integrate and analyze sell-out data in real-time is central to its strategy for providing valuable insights, improving operational efficiency, and personalizing the customer experience.

We are currently looking for a Senior Data Engineer to join the team and support the company in achieving its goals.

Responsibilities:

• Design and Develop: Build and maintain scalable data pipelines and architectures on Google Cloud Platform (GCP) using Python and other relevant tools.
• Data Integration: Integrate data from multiple sources (e.g., APIs, databases, flat files) into centralized data warehouses or data lakes.
• Data Modeling: Develop and manage transformations (e.g., DBT) to ensure data models are modular, maintainable, and performant.
• OLAP System Development: Design, implement, and optimize OLAP solutions for efficient analytical querying, including data cubes and aggregation strategies.
• Automation: Automate data collection, transformation, and loading (ETL/ELT) processes to ensure high data availability and reliability.
• Optimize Performance: Monitor, troubleshoot, and optimize data workflows for speed, cost-efficiency, and scalability.
• Collaboration: Work closely with data analysts, scientists, and other engineering teams to understand data needs and deliver tailored solutions.
• Security and Compliance: Ensure data solutions are compliant with relevant regulations and follow best practices for data security and data quality.

Requirements:

• 4+ years of experience as a Data Engineer.
• Strong experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.).
• Proficiency in Python for data processing and automation.
• Solid knowledge of SQL, particularly in optimizing complex queries for analytical workloads (OLAP).
• Hands-on experience with OLAP systems, including designing data cubes, aggregations, and schemas (e.g., star or snowflake schemas).
• Experience in designing and implementing ETL/ELT pipelines.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes, Cloud Run).
• Understanding of CI/CD pipelines and version control (e.g., Git).
• Upper-intermediate English.

Would be a plus: 

• Familiarity with Terraform or other IaC (Infrastructure as Code) tools for managing GCP resources.
• Experience with Apache Airflow for workflow orchestration.
• Knowledge of streaming data frameworks (e.g., Kafka, Pub/Sub).
• Exposure to machine learning workflows and tools on GCP (e.g., Vertex AI).
• Familiarity with Looker or other data-viz tools
• Working proficiency in French.

We offer:

• Possibility to work remotely.
• An open, transparent, and fun work culture.
• Multi-national team and collaborative work environment.
• Continuous knowledge sharing with engaged co-workers.
• Career and professional growth opportunities.