Senior Data Engineer: Fleet Data Pipelines & Analytics

ZF Group; Barcelona; Híbrido; EUR 70.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Comprehensive health care scheme

Career development opportunities

International collaboration

Competitive compensation

Descripción de la vacante

ZF Group in Barcelona seeks a Senior Data Engineer to design and scale data pipelines for our Aftermarket Digital Solutions. You will bridge raw vehicle data to actionable insights, driving high-quality analytics across SMB fleets and ML initiatives.

You will work with cross‑functional teams in Europe, shaping data governance, modeling, and dashboards while leveraging AWS and Databricks in a fast‑growing, hybrid work setting.

Formación

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related technical field (Master’s degree preferred).
• 5+ years of experience in data engineering, building data pipelines and ensuring data quality.
• Strong proficiency in Python programming, with Node.js knowledge 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 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.

Responsabilidades

• Design, build, and maintain 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.

Conocimientos

Python programming

Node.js

Data pipelines

Data quality

AWS services

Databricks

SQL databases

Data modeling

Data governance

Communication

Educación

Bachelor's degree in Computer Science / Data Science / Engineering (Master's preferred)

Herramientas

AWS (DynamoDB, S3, Lambda, SQS)

Databricks

SQL databases

Descripción del empleo

ZF Group in Barcelona seeks a Senior Data Engineer to design and scale data pipelines for our Aftermarket Digital Solutions. You will bridge raw vehicle data to actionable insights, driving high-quality analytics across SMB fleets and ML initiatives.

You will work with cross‑functional teams in Europe, shaping data governance, modeling, and dashboards while leveraging AWS and Databricks in a fast‑growing, hybrid work setting.