Client: Our client is a leading airline group known for its extensive network and strong commitment to innovation and excellence in the aviation industry.
- Position overview: We are seeking a highly skilled and motivated Data Engineer with expertise in Neo4j to join our dynamic team. In this role, you will be responsible for collecting and managing large volumes of varied data, designing and maintaining robust data pipelines, and collaborating closely with Data Scientists and ML Engineers to support the development and operation of innovative data products.
- You will play a key role in the ingestion, processing, and optimization of data within our Data Lake, ensuring data is accessible, well-modeled, and efficiently utilized across the organization.
- Responsibilities: Collection of large volumes and varied data sets
- Work directly with the team of Data Scientists and ML Engineers creating data pipelines robust and resilient that allow feeding the Data Products
- Collection of interactions with real ML models for their subsequent retraining
- Collaborate in the design, implementation, and production of the necessary parts for the ingestion of data into our Data Lake
- Promote a technical culture promoting data products with MLOps best practices
- Work directly with the team that supports the operation of the Data Products, to generate innovative ideas and solutions that improve their production processes
- Define data models that unite disparate data across the organization




- Design, implement, and maintain ETL pipelines
- Design, develop, and continuously test solutions based on the data
- Requirements: At least 2 years of experience in work environments as a Software Engineer or Data Engineer
- Solid experience with Python
- Experience working in UNIX environments
- Experience with Neo4j
- Excellent analytical skills related to working with unstructured data sets, and advanced knowledge of SQL, including query optimization
- Experience working with at least one Cloud
- Strong understanding of data structures
- Experience using CI/CD pipelines
- Experience working with Docker
- Passion in data processing problems
- Experience in distributed processing using cloud services
- Understanding of the complete lifecycle of Machine Learning models
- Advanced oral and written English
- Experience in the construction and optimization of data pipelines, message queues, and big architectures and highly scalable data
- Experience testing data pipelines
- Excellent communication skills and collaborative work experience
- Knowledge of Spanish
- Nice to have: Experience with GCP, especially in data services
- Terraform experience
- Experience in building scalable APIs
- Experience configuring and optimizing CI/CD pipelines
- Stream processing experience
- Ability to visualize possible improvements, problems, and solutions for architectures

📌 Data Engineer with Neo4j Expertise (Monterrey)
🏢 DataArt
📍 Monterrey