(Senior) Data Engineer – Data Modeling & Core Systems

We are scaling the core engineering capability behind real-time, high-throughput ad-tech infrastructure that processes large-scale audience data at global scale.

You’ll work closely with fellow engineers across backend systems, Quality Assurance, Analytics, and connector teams. We value teamwork over ego, collaboration over competition, open and honest communication, strong opinions held with curiosity, and delivering well-tested, maintainable code.

• Languages & Core: Scala, functional programming, strongly typed distributed services
• Processing & Streaming: Apache Spark for large-scale distributed processing, event-driven architectures
• Cloud & Storage: Google Cloud Platform (GCP), BigQuery, Parquet
• Engineering Standards: Automated CI/CD, robust unit & integration testing, Git workflows, and Tyda (our open-source, automation-driven SDLC process)

• →Own and evolve production data models spanning input/output models, schema evolution, field types, and partitioning strategies across multi-stage distributed pipelines.
• →Maintain and extend our audience framework, normalizing high-velocity raw inputs into standardized, canonical formats across behavioral signals, demographics, and brand affinity.
• →Design and manage models handling relational structures, real-time behavioral signals, high-dimensional embeddings, and anomaly detection.
• →Develop and maintain Spark-based data services in Scala and GCP, adhering to software design patterns, modular architecture, and edge-case resilience.
• →Lead by example with automated unit/integration testing, strict code reviews, Git branching discipline, and CI/CD best practices.
• →Partner with QA, Analytics, and downstream product teams to guarantee contract integrity, data correctness, and reliable system consumption.

• 3+ years of software engineering or data engineering experience, with a proven track record of shipping production-grade distributed data systems.
• Production experience writing quality code in Scala OR another statically typed language (Java, Kotlin, C#, Go). If your background is in Java/Kotlin/Go, you are eager and excited to build in a Scala-first environment.
• Hands-on experience collaborating on large codebases with automated testing (unit/integration testing), version control (Git), CI/CD pipelines, and structured code reviews.
• Proven ability to design and reason about complex, multi-layered data architectures (e.g., canonical schemas, dimensional modeling, Data Vault, or domain-driven data design).
• Solid experience with Apache Spark (or similar distributed frameworks) handling high-volume datasets.
• Experience with GCP (BigQuery, Cloud Storage) or equivalent cloud data platforms (AWS/Azure).
• The ability to explain complex data models, schema trade-offs, and technical designs clearly to both technical and product stakeholders.