Middle Java/Scala Engineer

What project we have for you

Join our engineering organization to build the next generation automated core map data processing environment for a global provider of location and mapping solutions used in automotive and mobility.

The product focus is on developing intelligent source-to-observables systems: scalable backend services and big data pipelines that transform diverse raw inputs (“sources”) into reliable, measurable outputs (“observables”) such as quality signals, coverage indicators, change detection outputs, operational KPIs, and downstream-ready datasets/artifacts.

Working as part of an agile team, you will contribute to systems that improve safety, availability, and performance of large-scale data processing that supports next-gen navigation and automated driving capabilities.

What you’ll work on

• Distributed processing pipelines for large-scale datasets (batch and, where applicable, near-real-time)
• Data validation, quality gates, and traceability concepts
• Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness)

Technologies:

• Java
• Scala (optional)
• Apache Spark
• AWS (incl. EMR and related services)
• CI/CD tooling (e.g., GitLab CI or similar)

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

Requirements:

• 3+ 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)
• Scala (optional, but a plus)
• Experience with data transformation / ETL pipelines
• Experience with geospatial/map-related data or large-scale data quality systems

Perks and Benefits:

• Flexible work schedule
• Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract
• Present on the occasion of birthday, wedding, child birth
• E-learning accounts for Coursera, O'Relly, Udemy
• Corporate language school