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Senior Data Engineer - Core Data Platform teamAbout TeadsTeads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, brand creative, context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 30+ countries.Our main Engineering challenges at TeadsBuild 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 knowledgeWork in an international environment with offices located in Israel, Slovenia and France.Our Core Data Platform teamWe'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 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 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?7+ years of professional experience in a data engineering or similar role.Good programming abilities. Testing your code is second nature to you. You are mindful of your application’s architecture, performance, maintainability, and overall quality.Technical skillsStrong proficiency in SQL / Java or Scala / Python.Extensive experience with distributed data processing frameworks like Apache Spark / Flink / Hive / Trino.Proven experience working with cloud-based data services on GCP or AWS (e.g.BigQuery, S3, GCS, EMR, DataProc).Experience with real-time data streaming technologies like Kafka or Flink.Deep understanding of data warehouse and data lake concepts and best practicesKnowledge of Apache Iceberg or Delta LakeSolid understanding of IaC using TerraformFamiliarity with SQL and NoSQL databases.Good communication skills and ability to work collaboratively within a team. You are an active listener and a dialogue facilitator, you know how to explain your decision and like sharing your knowledge.Multiple shipped projects in Software Engineering.Production knowledge and practices (Release, Observability, Troubleshooting, …), thanks to multiple shipped projects / applications. Strong problem-solving skills.Nice to HaveFamiliarity with containerization (Docker/OrbStack, Kubernetes).Knowledge of the ad tech ecosystem (e.g., DSPs, SSPs, Ad Exchanges).We care about youSecurity & Savings: Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed).Career Development: Continuous investment in our employees’ skills: in-house and external training, tech conference opportunities, internal mobility (individual contributor or management career ladder).Life Balance: A well-balanced work-life for our employees is one of our top priorities: 35+ days off per year, hybrid work (2 days remote work per week), fully covered parental leave, and reserved daycare places.Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives (women speaking groups, dedicated school partnerships), dedicated charitable time and sustainability actions (Eco Tree, subsidy for eco-mobility).What are our recruitment process steps?Please submit your CV in English.#LI-HybridLife at TeadsAt Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. 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.Apply for this jobindicates a required fieldFirst Name *Last Name *Email *PhoneCountryPhoneResume/CVEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfHave you worked at Teads (or Outbrain) before? *Select...I'm happy for Teads to contact me about future job opportunities. *LinkedIn ProfileWhere did you hear about this position? *Select...What are your salary expectations? (gross per month) * #J-18808-Ljbffr
