We’re looking for a Mid-Senior level Data Engineer to join our team and help shape the future of neuro-contextual advertising as we continue to expand globally.

Who We Are

At Seedtag, our mission is to transform advertising by proving that effectiveness and user privacy can truly coexist.

As the leading Neuro-Contextual Advertising Company, we combine Artificial Intelligence, Natural Language Processing, Computer Vision, and neuroscience to understand not only what content is about, but how it makes people feel and what they intend to do next.

Our proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking. Founded in 2014 by two ex-Googlers, Seedtag has grown to 700+ Seedtaggers in 17 countries, backed by €250M in funding, and operates today as a global ad-tech leader.

If you enjoy solving complex engineering challenges and building AI-driven systems at scale, you’ll feel right at home here.

Your Challenge

As Data Engineer, you will:

• Be a key player in the development of a reliable data architecture for ingestion, processing, and surfacing of data for large-scale applications.

• Cooperate with other teams to unify data sources, as well as recommend and implement ways to improve data reliability, quality and integrity.

• Work with data science and data analytics teams, to help them improve their processes by building new tools and implementing best practices.

• Ensure continuous improvement in delivery, applying engineering best practices to development, monitoring, and data quality of the data pipelines.
  
  

Our Core Values

Outcome over Output
We measure success by impact and value, not by volume of features or lines of code.

Failure Is Allowed, Learning Is a Must
Experimentation is key to innovation. We test early, iterate often, and learn fast.

We Are All Scouts
We take ownership and leave things better than we found them.

We Are Data-Driven
Data informs our decisions and helps us continuously improve our systems and results.

Tech Stack

We operate at large scale, supporting up to 120k requests per second, with ML models responding in under 10 milliseconds and processing 20 TB of data daily.

Our stack includes:

• Languages: Python, Go, TypeScript, Scala

• Cloud & Infrastructure: Kubernetes, GCP, AWS

• Streaming: Kafka, Kinesis

• Data: Datalakes, GCS, Redis, Druid, MongoDB

• Architecture: 100+ microservices, DevOps-driven, continuous deployment
  

What You’ll Need to Succeed

• You have at least 5 years of solid experience in Data Engineering.

• You have a degree in Computer Science, Engineering, Statistics, Mathematics, Physics or another degree with a strong quantitative component.You are comfortable with object-oriented languages, such as Python or Scala, and you are fluent in working with a Linux terminal and writing basic bash scripts.

• You have ample experience with Data Engineering tools such as BigQuery, Trino, Kafka or dbt.

• You have experience orchestrating ETL processes using systems such as Apache Airflow, and managing SQL and NoSQL databases.

• You are a team player and a proactive person who likes the dynamic scaleup work culture.
  

Why Join Seedtag?

• A key moment of growth with real ownership and global impact.

• Flexible work model with 100% remote or hybrid options.
  (Remote contracts available in Spain, Italy, UK, Belgium, Netherlands, France, and Germany.)

• Continuous learning through a learning platform and optional language classes.

• A supportive, trust-based culture that values well-being.

• Team activities, offsites, and opportunities to connect beyond work.
  

Additional Perks

• Home office setup budget up to €1,000

• Paid trips to our HQ in Madrid

• MacBook Pro M3
  

Ready to Join the Seedtag Adventure?

At Seedtag, we create an environment where everyone can thrive. If you need accommodations during the hiring process, let us know and we’ll ensure a positive experience.

Send us your CV and let’s build the future of neuro-contextual advertising together.