
Senior Data Engineer
- Barcelona
- Permanente
- Tiempo completo
- Design, build, and maintain efficient data pipeline architectures using AWS services (DynamoDB, S3, Lambda, SQS) and Databricks
- Develop processes to monitor and improve data quality, completeness, and consistency across vehicle telemetry data sources
- Collaborate with ML Engineers and Data Scientists to prepare and deliver clean, validated data for research and model development
- Analyze and understand complex vehicle data from various sources, including telematics devices and OEM connections
- Document data flows, models, and quality processes to ensure knowledge sharing across the organization
- Optimize data storage and retrieval to improve performance and reduce costs
- Implement data governance policies and procedures to ensure compliance with regulations
- Build data visualization tools and dashboards to help understand complex vehicle data patterns
- Participate in agile development sprints and collaborate closely with development teams
- Research and evaluate new data technologies and approaches to continuously improve our data infrastructure
- Support the creation of data-driven reports and analytics for internal and customer-facing features
- Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field (Master's degree preferred)
- 5+ years of experience in data engineering roles, with a focus on building data pipelines and ensuring data quality
- Strong proficiency in Python programming, with Node.js knowledge being a plus
- Extensive experience with AWS services, particularly DynamoDB, S3, Lambda, and SQS
- Experience working with Databricks and SQL databases
- Knowledge of data modeling, ETL design, and data warehouse concepts
- Familiarity with data quality tools and frameworks
- Ability to translate complex technical concepts into clear, understandable explanations
- Experience implementing data governance and documentation practices
- Strong problem-solving skills and attention to detail
- Experience with real-time data processing and time-series data is a plus
- Knowledge of vehicle telematics data, CAN bus protocols, or automotive systems is a significant advantage
- Experience working in agile development environments
- Excellent communication skills and ability to work in cross-functional teams
- Competitive compensation package that includes base salary, bonus scheme and benefits
- Comprehensive company health care scheme
- Meaningful development and career opportunities
- Flexible and hybrid work models
- The opportunity to shape a growing product at a critical stage in its lifecycle
- Collaboration with a diverse, international team across multiple European locations
- The chance to work with cutting-edge technologies in the rapidly evolving field of vehicle data and fleet management