Middle Scala Engineer

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.

Project Overview:

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

You will work on scalable backend services and big data pipelines that process geo and map data at scale detecting errors in core road attributes, integrating new data sources, and producing quality signals that feed directly into navigation and autonomous driving products.

The work spans two directions: building pipelines that compare map data against third-party sources (GPS traces, traffic signs, open map data) to detect and correct attribute deviations using confidence-based auto-fix and manual-review logic; and integrating diverse data sources (dashcam, satellite, aerial, vehicle sensors) into a central platform for standardized storage, processing, and API-based delivery of map observations.

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

What you'll work on:

• Distributed processing pipelines for large-scale geo-datasets (batch and, where applicable, near-real-time)
• Error detection, correction, and confidence-based decision logic for map attributes
• Data ingestion, standardization, and API-based delivery from multiple source types
• Data validation, quality gates, and traceability concepts
• Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness)

Technologies:

• Scala
• Apache Spark (or equivalent distributed processing frameworks, Airflow, Kafka, akka)
• SQL (PostgreSQL preferred)
• AWS (incl. EMR and related services)
• CI/CD tooling (GitHub / GitLab)

Requirements:

• 3+ years (or strong equivalent) building backend systems with Scala (strong core Scala)
• Solid knowledge of data structures, OOP, and design patterns
• Experience with Big Data / distributed processing, ideally Apache Spark or equivalent frameworks
• Strong experience with relational databases, SQL, and data modeling basics ideally PostgreSQL (schema design, query optimization, indexes)
• Practical experience in AWS, preferably including EMR or equivalent managed compute
• Experience with CI/CD pipelines (GitHub / GitLab) and engineering best practices (code reviews, automation)
• Strong analytical and debugging skills; ability to optimize performance and reliability
• Understanding of low-level design (LLD) principles: modular architecture, clean abstractions
• Awareness of API design basics and backward compatibility considerations
• Testing practices: unit and integration testing understands why and how, not just runs existing tests
• Basic understanding of monitoring & observability: logs, metrics, dashboards
• English communication skills Upper Intermediate+ (written and spoken)

Responsibilities:

• Implement backend services and data processing pipeline components following established architecture
• Write clean, maintainable code with proper unit and integration test coverage
• Own assigned tasks end-to-end: development, testing, and documentation
• Follow team standards for monitoring, logging, and observability
• Participate in code reviews both giving and receiving feedback
• Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process
• Actively learn from senior engineers and grow technical skills