Senior Data EngineerActive
The opportunity
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul.
What you'll do
Design and implement core components of our data pipelines and services in Go: and Scala, with a focus on scalability, performance, and long-term maintainability.
Partner closely with engineers, analysts, and product stakeholders to design: solutions for strategic initiatives, business-critical data products, and agentic AI architectures.
Contribute to the evolution of our data platform architecture, improving: scalability, reliability, observability, and data correctness across the stack.
Build and curate high-quality, well-modeled, and richly contextual datasets: that power internal products, predictive analytics, and LLM-enabled features at company scale.
Develop a deep understanding of the company’s data ecosystem: including source systems, tooling, and data flows — and collaborate closely with the data engineering teams in Austin, Lisbon, and London to improve data ingestion, quality, and governance.
Lead by example through design reviews, knowledge sharing, and mentorship,: helping raise the technical bar, data engineering practices, and AI implementation standards across the organization.
What they're looking for
- B.S. or M.S. in Computer Science, Engineering, Statistics, Mathematics, or a: related quantitative field, or equivalent practical experience.
- + years of professional experience in data engineering, software engineering,: or related roles, building and operating production data systems.
- Strong programming expertise in Go, Python, or JVM-based languages, with: experience writing high-quality, production-grade services and pipelines.
- Deep knowledge of SQL and hands-on experience designing data models and: working with relational, analytical, or vector databases (e.g., PostgreSQL, MySQL, ClickHouse).
