Engineer III - Software (Python / Cloud)

TomTom; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading navigation technology company in Madrid is seeking a Senior Software Engineer to join their Map Advanced Analytics team. In this role, you will design and build robust data solutions to assess map quality at scale. Ideal candidates should have over 5 years of experience in software development, particularly in Python, and strong communication skills in English. This position offers the chance to collaborate with cross-functional teams and mentor junior engineers, contributing to innovative projects in a cloud environment.

Formación

• 5+ years of relevant industry experience in developing production-grade code and end-to-end data analytics projects.
• Proficiency in Software Engineering, Design, and Development in Python; other programming languages valued.
• Experience in building efficient and scalable software architectures.

Responsabilidades

• Collaborate with data scientists and software engineers, mentoring junior members.
• Design, implement, and optimize data processing pipelines in Azure.
• Drive technical decisions and enhance engineering practices.
• Take ownership of major projects from requirements to implementation.
• Lead changes within the team and the organization.

Conocimientos

Production-grade code development

Python software engineering

Object-Oriented Programming

Software Development Best Practices

DevOps practices

Cloud technologies (Azure)

Educación

Master’s degree in Computer Science or related field

Descripción del empleo

Overview

Join us in shaping the future of navigation with the best maps in the world, leveraging diverse sources and the latest techniques for automated data processing at scale.

We are seeking a highly motivated Senior Software Engineer to join our Map Advanced Analytics team. You will design and build robust data and analytics solutions and platforms to assess map quality at scale, enabling fast, data-driven and cost-effective strategic decision-making.

Responsibilities

• Collaborate: Work alongside data scientists and software engineers, providing support and leveraging tools for scalable and sustainable model and data processes. Mentor junior team members to foster their growth.
• Lead: Design, implement, and optimize complex systems, platforms and data processing pipelines in a cloud environment (Azure), focusing on automation, scalability, and reliability.
• Drive: Make informed technical and design decisions, contribute to architectural discussions, and enhance engineering, testing, and operational practices.
• Own: Take full ownership of major projects or project segments, ensuring high quality, performance, and scalability from requirement gathering to production-level implementation.
• Innovate: Lead changes and initiatives within your team and across the organization.

Qualifications

• 5+ years of relevant industry experience in developing production-grade code and end-to-end data analytics projects.
• Proficiency in Software Engineering, Design, and Development in Python; experience with other programming languages can also be valued
• Strong experience in Object-Oriented Programming, Design Patterns, Testing Frameworks, and Software Development Best Practices
• Proven ability to simplify complex data structures and solve problems
• Experience in building efficient and scalable software architectures
• Experience in collaborative software engineering practices—code reviews, source control, testing, and deployment processes, git. Knowledge of TDD, XP, Pair Programming will also be considered
• Knowledge of DevOps practices, including CI/CD pipelines, observability, and Infrastructure as Code (IaC)
• Proven experience with cloud technologies like Azure (or AWS, GCP), including architecting and maintaining data processing systems
• Excellent communication skills in English, both written and verbal, to collaborate effectively within an international environment
• Master’s degree in Computer Science or a related field.

Nice to have

• Proficiency in machine learning and AI
• Strong background in creating sustainable and scalable solutions

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