ML Engineer – Data Engineering

TomTom

full-time

Posted on: 1/5/2026

Location Type: Hybrid

Location: Madrid • Spain

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About the role

Contribute to the design, development, and maintenance of data pipelines and workflows, ensuring reliability and consistency across environments.
Implement data validation, testing, and basic lineage tracking to support data quality initiatives.
Monitor pipelines and systems, triaging issues, and collaborating with senior engineers to resolve root causes.
Support performance optimization efforts for data storage, queries, and processing workloads.
Participate in managing cloud-based environments (e.g., Azure) for data and ML workflows.
Work with orchestration tools to schedule and maintain recurring jobs.
Assist in implementing metadata management and access controls.
Contribute to building dashboards and monitoring tools for data quality, model performance, and system health.
Collaborate with cross-functional teams to understand data requirements and support internal stakeholders.
Document processes, pipelines, and best practices to improve team knowledge sharing.
Work in a flexible, mostly remote environment that supports work-life balance.

2+ years of experience as a Data Engineer, ML Engineer or similar role.
Degree in Computer Science, Mathematics, or related field (Bachelor’s/Master’s/PhD).
Proficiency in Python, Spark.
Experience building or maintaining data pipelines (Databricks or similar platforms).
Basic knowledge of orchestration and containerization tools (Airflow, Docker; Kubernetes is a plus).
Experience working with cloud platforms (Azure, AWS, or GCP).
Strong SQL skills and exposure to NoSQL databases.
Understanding of data modeling, partitioning, indexing, and performance tuning.
Familiarity with Git and CI/CD workflows.
Good communication skills and a proactive, problem-solving mindset.

Benefits

A competitive compensation package, of course.
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O’Reilly and LinkedIn Learning.
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.
Work flexibility, where TomTom’ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize.
Improve your home office with a setup budget and get extra support with a monthly allowance.
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we’re mapping.
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities at TomTom!
Find out more about our global benefits and enjoy additional local benefits tailored to your location.

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonSparkSQLNoSQLdata pipelinesdata validationdata modelingperformance tuningorchestration toolscontainerization

communicationproblem-solvingcollaborationproactive mindset