Head of Data for Premier League Foundation managing data strategy and systems to enhance impact, reporting to the Chief Executive and leading multidisciplinary team.
About the role
- Engineer III - Data Science at TomTom innovation team. Working on cutting-edge HD maps and data pipelines for automotive and transportation sectors.
Responsibilities
- Help to make location content best-in-class by advocating for and implementing changes to technology, process, tools, and systems
- Orchestrate workflows and schedules; monitor, alert, and resolve pipeline issues
- Ensure data quality with validation, testing, lineage tracking, and documentation
- Collaborate with product teams to understand requirements and deliver reliable datasets
- Optimize performance and cost of data storage, queries, and pipelines
- Manage metadata, governance, and access controls
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Collaborate with teams to bring synergy, with tools and communications channels that ensure transparency and knowledge sharing across the company
- Work in a mostly-remote and flexible way that will allow you to find the perfect work-life balance
Requirements
- Minimum 4+ years of experience working as a Data Scientist or Data Engineering deploying and managing ML and data pipelines in production
- Bachelor’s/Masters/PHD in Computer science, Mathematics, Statistics, or equivalent field
- Proficiency in a programming language commonly used for data engineering/data science (e.g., Python or Scala)
- Experience in various ML / AI techniques and frameworks
- Experience in designing and operating data pipelines and distributed data systems
- Experience working with Big Data technologies (e.g., Spark, Hive, …)
- Strong SQL skills, including query optimization and schema design
- Hands-on experience with cloud data platforms (AWS, GCP, Azure) and modern data warehousing/lakehouse (Snowflake, BigQuery, Redshift, Databricks, Synapse)
- Familiarity with orchestration tools (e.g., Airflow) and transformation frameworks (e.g., dbt)
- Familiarity with geospatial libraries and formats (Shapely, geopandas, GeoTiff/COG..)
- Understanding of data modelling, partitioning, indexing, and performance tuning
- Good communications skills in English
- Strong problem-solving skills
Benefits
- A competitive compensation package
- Time and resources to grow and develop, including a personal development budget and paid leave for learning days
- Paid access to e-learning resources such as O’Reilly and LinkedIn Learning
- Enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities
- Work flexibility, where TomTom’ers use both the office and home to focus, collaborate, learn and socialize
- Setup budget for home office improvement and extra support with a monthly allowance
- Options to work from your home country and abroad for a set number of days each year
- A competitive holiday plan, plus an extra day off to celebrate your birthday
- Join annual events like our Hackathon and DevDays
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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