Description :

Project Overview :

Our client is a is a location data and technology platform company that empower customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

They create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives.

If you are inspired by an open world and driven to create positive change, join us!

As a Senior Backened Engineer in the Map Data Processing group you will develop smart Map Data processing tools for the state-of-the-art Mapping Technologies.

You will work self-sustained in an agile team.

Your responsibility will cover developing, extending and maintaining tool and services that processes map data for global navigational database.

For that you will be translating product strategies into technology strategies, leading the long-term architectural direction and helping design and build industry-grade customer-facing geo-data-intensive products.

You will work closely with other engineering & operations teams, internal users of tool chains your team develops and partner with product managers and the larger map operations business units.

Required skills :

- 7+ years (or strong equivalent) building backend systems with Java (strong core Java)

- Solid knowledge of data structures, OOP, and design patterns

- Experience with Big Data / distributed processing, ideally Apache Spark

- Strong experience with relational databases and SQL, ideally PostgreSQL (schema design, query optimization, indexes

- Practical experience in AWS, preferably including EMR or equivalent managed compute

- Experience with CI/CD and engineering best practices (code reviews, testing, automation)

- Strong analytical and debugging skills; ability to optimize performance and reliability

- English communication skills Upper Intermediate + (written and spoken)

Nice to have :

- Scala (optional, but a plus)

- Experience with data transformation / ETL pipelines

- Experience with geospatial/map-related data or large-scale data quality systems

Responsibilities :

- Design and implement scalable backend services and data processing pipelines

- Participate in architecture/design discussions and contribute to technical decisions

- Own delivery end-to-end : development, testing, performance optimization, and production support readiness

- Improve code quality via reviews, automated testing, and engineering best practices

- Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process

- Mentor engineers, share knowledge, and promote strong engineering culture