Data Engineer - R&D Digital Solutions

Talanto; Braga; Híbrido; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

International team

Training opportunities

Competitive compensation

Resumo da oferta

Talanto in Braga, Portugal, is seeking a Data Engineer to design and optimize data platforms powering AI-driven solutions for global fleet customers. You will build scalable data pipelines, collaborate with data scientists, and ensure data quality and governance.

You should have 2+ years in data engineering, strong Python and SQL, experience with Spark/Kafka, and a practical understanding of GDPR and cloud platforms. Join an international team and contribute to cutting-edge mobility analytics.

Qualificações

• Academic background in computing or related field.
• 2+ years of experience as a Data Engineer.
• Strong Python and SQL programming.
• Hands-on with big data frameworks (Spark, Databricks, Hadoop, Kafka, DBT).
• Solid data modeling, databases (relational, NoSQL, time-series).
• Familiarity with data versioning and lineage tracking.
• Experience with Agile methods (Scrum, Kanban).
• Experience in international teams is desirable.
• Proficient English (spoken/written).

Responsabilidades

• Design, build, and maintain scalable data pipelines for real-time and batch IoT/telematics data.
• Develop and manage cloud-based data platforms for performance and cost efficiency.
• Implement data quality, validation, and governance, ensuring GDPR compliance.
• Collaborate with Data Scientists and MLOps Engineers to deliver reliable datasets.
• Mentor junior engineers and share knowledge to promote best practices.

Conhecimentos

SQL

Python

Spark

Airflow

Kafka

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Databricks

Hadoop

DBT

Descrição da oferta de emprego

SQL Python Spark Airflow Kafka

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Job Description

In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As a Data Engineer, you will play a key role in building and optimizing data platforms and pipelines that power AI-driven solutions for our global fleet customers.

You will design, develop, and maintain scalable data infrastructures, ensuring seamless integration of IoT and telematics data from connected tires and vehicles. Working closely with Data Scientists, MLOps Engineers, and cross-functional teams, you will enable advanced analytics and machine learning capabilities that enhance safety, reduce costs, and extend tire lifecycle.

Key responsibilities:

• Design, build, and maintain scalable data pipelines for real-time and batch processing of IoT and telematics data;
• Develop and manage cloud-based data platforms, optimizing workflows for performance, scalability, and cost efficiency;
• Implement data quality, validation, and governance processes, ensuring compliance with security and privacy regulations (e.g., GDPR);
• Collaborate with Data Scientists and MLOps Engineers to deliver reliable datasets and support end-to-end AI/ML services;
• Mentor junior engineers, review work, and organize knowledge-sharing sessions to foster best practices.

Qualifications

• Academic degree in Computer Science, IT, Engineering, Mathematics, or related field;
• >2 years ofexperience as a Data Engineer;
• Strong programming skills in Python and SQL;
• Hands‑on experience with big data and distributed processing frameworks (e.g., Spark, Databricks, Hadoop, Kafka, DBT);
• Solid understanding of data modeling and databases (relational, NoSQL, time-series);
• Familiarity with data versioning and lineage tracking;
• Experience with Agile project management methods (Scrum, Kanban);
• Experience working in an international team (desirable);
• Reliable team player with structured self-organized workstyle;
• Proficient English language skills (spoken / written).

Additional Information

Our offer:

• Integration in a challenging and international work environment;
• Collaborative working style;
• Continuous opportunities for the promotion of talent and training;
• Opportunity to make a difference.

We are committed to fostering a workplace where everyone feels safe, respected, and valued. All kind of applications are welcome.