Senior Data Engineer

Job description: We are looking for support for our ZF Aftermarket Digital Solutions at our location in Barcelona, Spain.About the Team: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.As a Senior Data Engineer, you will work closely with our cross-functional teams in Barcelona and across Europe, collaborating with our development teams, machine learning engineers, and data scientists.You will be responsible for understanding complex vehicle data, building robust data pipelines, and implementing data quality processes that support our analytics and machine learning initiatives.In this role, you will be the bridge between raw vehicle telemetry or fleet data and actionable insights, ensuring that our data infrastructure can scale with our growing customer base while maintaining high standards of data quality and accessibility.What you can look forward to as Senior Data EngineerDesign, 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 Your Profile as Senior Data EngineerBachelor’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 Comprehensive company health care scheme Meaningful development and career opportunities Hybrid work model 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#J-*****-Ljbffr

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 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 Comprehensive company health care scheme Meaningful development and career opportunities Hybrid work model 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 #J-*****-Ljbffr