O pozici
About Teads
Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries.
For more information, visit www.teads.com.
Our main Engineering challenges at Teads
Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies.
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency , and cost efficiency. We use mostly Scala and TypeScript, among others.
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products .
Bring a wide diversity of profiles to the same level of quality and knowledge
Work in an international environment with offices located in Israel, Slovenia and France.
Our Core Data Platform team
We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business. We thriv
Co budeš dělat
- As a Data Engineer , you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines.
- You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis.
- Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.
- Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
- Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS) . This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
- Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
- Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
- Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.
Koho hledáme
- 5+ years of data engineering experience , building and operating production data pipelines at scale (TB+ datasets, hourly/daily batch or streaming workloads).
- Hands-on production experience with Apache Spark (batch, streaming, or both). You should be able to walk through a non-trivial Spark job you wrote, explain partitioning and shuffle behavior, and describe how you tuned it. Language is not a filter: Scala, Python, or Java are all fine. What matters is that you can debug and ship production Spark code, not which language you write it in.
- Production experience on GCP or AWS for at least one full project lifecycle (design, build, deploy, operate). Dataproc/EMR for compute, GCS/S3 for storage, BigQuery/Redshift/... for warehousing. GCP is preferred given our current stack, but strong AWS candidates are welcome and will ram
Benefity
- You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies.
- As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out:
We've merged two open internet category leaders—Outbrain and Teads—to create the ‘new’ Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web.
- As part of our team, you’ll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning.
- Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role.
- Our company culture is welcoming, dynamic, diverse, global, and built on top performance.
- Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.
- Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.
