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Overview
You will join ZF Aftermarket Digital Solutions group working on our innovative fleet management ecosystem designed for small and medium-sized businesses (SMBs) operating light vehicle fleets. You will play a critical role in building and optimizing our data pipeline architecture and ensuring data quality across all our systems.
Responsibilities
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
Qualifications
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
Why ZF in Barcelona?
You will work in an open and transparent corporate culture where ownership, accountability, diversity and respect are important values. Our employees are passionate about their job and are all convinced that team spirit and fun are at the heart of our success. Our teamwork in an environment with healthy self-reflection and improvement ingrained in our approach, where outside ideas are genuinely valued, and every member can influence decisions or question current norms.
In this stimulating, fast-growing and challenging environment, we offer you :
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
Be part of our ZF Aftermarket team as Senior Data Engineer and apply now!
Employment details
Seniority level : Associate
Employment type : Full-time
Job function : Information Technology
Industries : Motor Vehicle Manufacturing
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Senior Data Engineer • Barcelona, Catalonia, SPAIN