Data Engineer
Role details
Job location
Tech stack
Job description
Data Engineer We're looking for a Data Engineer to join our team and help shape the future of neuro-contextual advertising as we continue to expand globally. About Seedtag At Seedtag, our goal is to lead the change in the advertising industry because we believe that effective advertising should not be at odds with users' privacy. By combining NLP and computer vision, our proprietary machine-learning technology provides a human-like understanding of the web content that finds the best context for each ad while ensuring risk-mitigation without relying on cookies or tracking mechanisms. Every day, our teams develop new services that reach over 200 million users worldwide, with fast response times to ensure the best user experience. We're fully committed to a DevOps culture, providing the platform that our developers and data scientists use to manage over 100 microservices, pushing dozens of changes to production each day. Our stack runs on Kubernetes in Google Cloud Platform and Amazon Web
Requirements
Services. Your Challenge * Develop a reliable data architecture for ingestion, processing and surfacing of data for large-scale applications. * Co-operate with other teams to unify data sources and implement ways to improve data reliability, quality and integrity. * Work with data science and analytics teams to build new tools and implement best practices. * Continuously improve delivery by applying engineering best practices to development, monitoring and data quality of pipelines. Our Core Values * Outcome over output. * Failure is allowed, learning is a must. * We are all scouts. * We are data-driven. Tech Stack We support 120 k requests per second running ML models in production, answering within 10 ms. Production stack includes Python, Go, data lakes, GCS, Redis, Kinesis or Kafka. We also develop in TypeScript for Node.js and Scala, using Kafka, Druid, MongoDB on GCP. What You'll Need to Succeed * At least 5 years of solid experience in data engineering. * Degree in Computer Science, Engineering, Statistics, Mathematics, Physics or related quantitative field. * Comfortable with object-oriented languages such as Python or Scala, and fluent with Linux terminal and bash scripting. * Experience with BigQuery, Trino, Kafka or dbt. * Experience orchestrating ETL processes with Apache Airflow and managing SQL and NoSQL databases. * Team player and proactive in a dynamic scale-up culture. Why Join Seedtag? Growth & Opportunity: vast career development prospects. Flexibility: 100 % remote (European contracts in Spain, Italy, UK, Belgium, Netherlands, France, Germany) or hybrid. Learning & Development: online courses, optional language classes. Inclusive Culture: supportive environment that values personal growth. Fun & Connection: team activities, off-sites. Additional Perks * Flexible benefits plan: restaurant, transportation and kindergarten vouchers. * Health insurance: comprehensive coverage. * Gympass: wellness programs.
