This role has closed. Teads1 has taken the posting down.
hirly last saw it live on 29 September 2026. See similar open roles below, or browse the live board.
Teads1
Senior Data Infra Engineer - Big Data
Netanya
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hirly's read of this role
- Seniority
- Senior
- Country
- IL
- Work mode
- Remote-friendly
- First seen by hirly
- 2 Sept 2026
Derived automatically from the posting.
the posting
About Teads
Teads is a leading omnichannel advertising platform building the future of digital advertising where quality content, trusted publishers, ambitious brands, and human creativity can thrive. Operating at true scale - processing 18 billion ad opportunities every single day - we connect global brands with a monthly reach of over 2.2 billion unique users.
At Teads, we believe your impact travels further . We are a borderless team of 1,700+ innovators across 30+ countries who favor outcome over tenure, value trusted autonomy, and use predictive AI to amplify human ingenuity rather than replace it. We move at pace, tackle genuinely complex problems, and foster a high-accountability culture that stays genuinely human. If you are looking for room to build and meaningful scope, you belong here. Learn more at 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 thrive on innovation and seek a Senior Data Infra Engineer to help us build and scale the data infrastructure that powers our insights and analytics.
- This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.
What will you do?
As a Senior Data Infra 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.
Your mission will be to:
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.
What will you bring to the team?
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 and distributed data processing frameworks such as Flink, Hive, or Trino. Strong understanding of large-scale batch and streaming pipelines , including performance tuning and troubleshooting. 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 building and operating data solutions on GCP or AWS , including cloud-native services such as BigQuery, Dataproc, GCS, S3, EMR, or Redshift. Experience across the full project lifecycle is preferred.
Production experience with Kafka or Kafka-compatible streaming platforms , including the development, operation, and troubleshooting of real-time data pipelines, as well as debugging production incidents involving consumer lag, partition rebalancing, or data loss.
Strong understanding of data warehouse and data lake concepts , including Medallion Architecture (Bronze, Silver, Gold) and data platform best practices.
Nice to have
Production experience with a lakehouse table format (Apache Iceberg or Delta Lake). The specific format matters less than the underlying concepts: you understand how the lake stores data on object storage, how a table format adds transactional semantics on top and how a data warehouse can read that data. You have dealt with schema evolution and table maintenance.
Please submit your CV in English.
We care about you
Hybrid working model (3 days per week in the office)
Nearby parking available
Expand your toolbox with our mentorship program and internal learning tools
Pet friendly office
Happy hours
…and of course a fully stocked kitchen!
#LI-Hybrid
Life at Teads
At Teads, we don’t just offer jobs. We blend creativity, technology, and cutting-edge data to shape the future of media.
As a Teadster, you’ll work alongside smart humans, collaborate with meaningful brands, and leverage advanced AI and automation to redefine how advertising works in a transparent, privacy-first world.
We are builders, innovators, and future-thinkers. If you are excited by the evolution of technology and ready to embrace the future of AI-driven media, you belong here.
Why Join Us?
A New Era of Media: We’ve merged two open internet category leaders, Outbrain and Teads to create a unified omnichannel platform. Together, we drive results from branding to performance across CTV, mobile, and web.
AI-Powered Innovation: We actively embrace AI and next-gen technology to solve complex industry challenges. We look for curious minds who aren't afraid to experiment, adapt, and lead the charge into the future of digital advertising.
Growth & High Performance: Our culture is dynamic, global, and built on excellence. We are committed to your success, offering the modern tools, mentorship, and development opportunities you need to thrive.
Belonging & Impact: We foster a welcoming, diverse environment where approachable, resourceful, and passionate people excel. Through our employee-led Employee Resource Groups (ERGs), you can actively drive change in areas like sustainability, women’s empowerment, charitable initiatives, and DE&I.
- Equal Opportunity Employer
- Teads is committed to diversity, equity, and inclusion at all stages of recruitment and employment. We celebrate unique perspectives and are dedicated to building a team that reflects the global communities we serve.
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