Senior MLOps/Data Engineer

Tomtom-7dbebcc; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Development budget

Learning days access

Flexible work (office + home)

Holiday policy

Hackathons & DevDays

Global benefits

Job summary

TomTom is seeking an experienced ML/MLOps engineer to own the end-to-end ML lifecycle on Azure and Databricks, collaborating with applied scientists to deploy reliable models for navigation services.

You will orchestrate pipelines, standardize experiments with MLflow, automate CI/CD, monitor data and models, ensure security, and contribute to a diverse, inclusive global culture with generous learning budgets and flexible work options.

Qualifications

• Strong Python software engineering and testing discipline.
• Fundamental understanding of machine learning concepts.
• 3+ years in Data Engineering or MLOps roles.
• Hands-on experience with Databricks and Delta Lake.
• Experience building and maintaining ML pipelines and CI/CD for data/ML.

Responsibilities

• Own end-to-end ML lifecycle on Azure + Databricks from ingest to monitor.
• Orchestrate ML pipelines including feature engineering, training, evaluation, deployment and monitoring.
• Standardize experimentation with MLflow or similar tools.
• Automate jobs with Databricks Workflows and CI/CD.
• Implement data and model observability, security and compliance.

Skills

Python engineering

PySpark

Databricks

Delta Lake

CI/CD

Azure basics

Monitoring

Communication

Tools

GitHub Actions

Azure DevOps

Job description

What you'll do

In a nutshell, own the end-to-end ML lifecycle on Azure and Databricks, working with applied scientists to operate reliable models.

• Orchestrate and maintain ML pipelines (ingest → feature engineering → train → evaluate → deploy→monitor→repeat) on Azure + Databricks
• Standardize experimentation using MLflow or similar tools (tracking, artifacts, model registry, stages)
• Automate jobs with Databricks Workflows and CI/CD (GitHub Actions or Azure DevOps)
• Implement data & model observability: freshness/completeness, drift (features/model), training/serving skew, SLA/SLO monitoring
• Ensure security & compliance
• Handle incidents and post-mortems for ML pipelines and serving infrastructure

What you'll need

• Excellence in Python software engineering and developing tests
• Fundamental understanding of Machine Learning
• 3+ years in Data Eng/MLOps roles
• Strong PySpark
• Hands-on with Databricks and Delta Lake
• CI/CD for data/ML (Git, PR workflow, automated tests, environment pinning)
• Azure basics
• Monitoring and building dashboards
• Clear communication; operational-excellence mindset (SLA/SLO ownership)

What's nice to have

• Unity Catalog experience
• Databricks Feature Store
• Terraform for workspace/clusters/jobs/UC objects
• Telemetry domain exposure
• Optimize PySpark jobs (partitioning, caching, etc.) and cost (autoscaling, spot).

What we offer

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. It’s all about getting the best out of both worlds –we ask TomTom’ers to come to the office two days a week, and the remaining three are free to be worked in either location.

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.

Meet your team

We're the Navigation SDK team. We work on complex code to develop TomTom's Navigation Software Development Kit, integrating technologies provided by other Product Units and enabling our customers to easily build competitive navigation applications. Your code will also be at the heart of TomTom's navigation products like AmiGO, helping millions of people find their way in the world.

At TomTom...

You’ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first‑ever real‑time map, the smartest and most useful map on the planet.

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.

TomTom is an equal opportunity employer

TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, you. No matter your culture or background, you’ll find your impact at TomTom.Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we’d love to hear from you.