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Job Overview

We are looking for a talented Data Engineer to help us change the world of digital advertising together.

ABOUT US

Seedtag is the leading Contextual Advertising Platform and we believe in high-quality advertising content. We allow brands to take advantage of visual media in the most responsive, bespoke, and non-intrusive way. Our proprietary technology uses the power of Machine Learning to provide human-like understanding of content, the highest level of brand safety in the industry and unmatched, cookieless targeting capabilities.

Founded by two ex-Googlers in 2014, today we proudly count over 200 employees in 10 countries. At seedtag we are committed to maintaining a culture where everyone can thrive and find meaning in their work.

Our team faces massive scalability challenges to be able to process millions of requests per minute with very strict timing requirements. Through the use of machine learning algorithms we analyze the content of every page and achieve human-like content understanding to provide the best possible ad contextualization in the industry.

As part of our engineering team you will join a tightly-knit group of extremely talented software engineers, data scientists and product owners who enjoy solving hard problems and work as a team to innovate. We are committed to maintaining a culture where everyone can thrive and find meaning in their work.

ABOUT YOU

Your key responsibilities will be:

  • 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
  • You will cooperate with other teams to unify data sources, as well as recommend and implement ways to improve data reliability, quality and integrity.
  • You will start by processing data from different sources using tools such as SQL, MongoDB, and Apache Beam, and will be exploring and proposing new methods and tools to acquire new data.
  • You will work with data science and data analytics teams, to help them improve their processes by building new tools and implementing best practices
  • You will ensure continuous improvement in delivery, applying engineering best practices to development, monitoring, and data quality of the data pipelines.

We're looking for someone who:

  • You have at least 2-4 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 Apache Beam, Spark, Flink or Kafka.
  • You have experience orchestrating ETL processes using systems such as Apache Airflow, and managing databases like SQL, Hive or MongoDB.
  • You are a proactive person who likes the dynamic startup work culture

Latest Jobs at Seedtag


Seedtag Overview

Seedtag is the leading contextual advertising platform in Europe and LATAM. By contextually delivering ads through its proprietary AI technology based on Machine Learning algorithms, Seedtag offers advertisers an effective alternative to the use of cookies by targeting users based on their real-time interests. Seedtag was founded in 2014 by two former googlers with a clear mission: to change how online advertising is done. Today Seedtag has a large international presence with over 160 employees across the UK, France, Spain, Italy, Netherlands, Mexico, Brazil and Colombia.

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Seedtag Jobs by Location

Check below to see all of the open Seedtag jobs organised by office location.

Amsterdam (1)

Belgium (1)

Dubai (1)

London (1)

Madrid (16)

Munich (1)

Paris (2)

Sao Paulo (4)

Spain - Remote (2)

US - Remote (1)

Seedtag Jobs by Team

Check below to see all of the open Seedtag jobs organised by team.

Client Services & Strategy (4)

Engineering & Modelling (3)

Finance & Accounting (2)

Marketing & Communications (3)

Partnerships (3)

People & Places (2)

Product & Design (3)

Sales & Sales Support (7)

Technical Services (3)