Build the infrastructure and tooling required for optimal extraction, transformation and loading of data from a wide variety of data sources using cloud native big data services from AWS/Azure
Deploy analytics tools that utilize the data pipeline to provide actionable insights into customer usage, operational efficiency and other analytical and business performance metrics
Work with stakeholders including the business analysts, data scientists to assist with data-related technical issues and support their data (infrastructure) needs and prepare data for modeling and analytics
Understanding of effective data driven decision making across stakeholders.

Proven experience building and optimizing ‘big data’ data pipelines, architectures and data sets, also for AI/ML applications
A successful history of loading, manipulating, processing and extracting value from large disconnected datasets
Working knowledge of stream & batch processing in/out to highly scalable data/metrics stores
Advanced knowledge of query languages like SQL and working familiarity with a variety of databases
Hands-on experience with non-relational & relational databases like Postgres, RedShift, Cassandra, Data Explorer, etc.
Hands-on experience with programming languages Python is a must, Spark
Experience with processing and managing large data sets (tens to hundreds of TB scale)
Knowledge and experience in building big data consumption patterns such as data APIs, visualization tools and platforms is good to have
Experience with one of the the cloud platforms like AWS/Azure is a plus
Degree in Computer science/Data science/Data engineering or a Master’s is a plus.

A competitive compensation package
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.
Improve your home office with a setup budget and get extra support with a monthly allowance.
Options to work from your home country and abroad for a set number of days each year.
Take holidays 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.
Inclusive global culture and chance to collaborate with a diverse community.

Senior Data Engineer

Key skills