Data Analytics Engineer

Job Description

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

Who We Are

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 Natural Language Processing and Computer Vision our proprietary, Machine Learning-based technology provides a human-like understanding of the content of the web that finds the best context for each ad while providing unparalleled risk-mitigation capabilities that protect advertisers from showing their ads on pages that could be damaging for their brand. All of this, without relying on cookies or any other tracking mechanisms.

Every day, our teams develop new services that reach over 200 million users worldwide with fast response times to ensure that we deliver the best user experience. We’re fully committed to the DevOps culture, where we provide the platform that our Software Developers and Data Scientists use to manage over 100 different microservices, pushing dozens of changes to production every day. All of this is built on top of Kubernetes in Google Cloud Platform and Amazon Web Services.

If you are interested in joining one of the fastest-growing scale-ups in Europe and working on massive scalability challenges, this is the place for you.

Your Challenge

• Design and implement robust data models to support complex ad campaign measurement and analysis.
• Leverage your expertise in data warehouse architectures (e.g., Snowflake, Redshift) to ensure efficient data storage, retrieval, and scalability.
• Utilise dbt (Data Build Tool) to automate data transformation processes and maintain data quality.
• Develop and maintain the semantic layer, acting as a single source of truth for business users to access and understand campaign data.
• Collaborate with data scientists, analysts, and business stakeholders to translate business needs into technical requirements.
• Build and maintain data pipelines to ingest data from various sources (ad servers, DSPs, etc.).
• Monitor and troubleshoot data quality issues, ensuring the accuracy and consistency of information.
• Create and maintain comprehensive data documentation.
  
  

Our core values

• Outcome over output
  
  

Our core tech values reflect our commitment to delivering exceptional results, fostering a culture of continuous learning, and always putting the customer's needs first. We believe that success comes from focusing on the outcomes rather than just the output. Our tech team aims to solve problems that make a meaningful difference, and we measure our success by the impact we have on the customer.

• Failure is allowed, learning is a must
  
  

We also recognise that failure is an inevitable part of the innovation process. Our team understands that setbacks are opportunities to learn and grow. We believe in testing early and often, and we continuously iterate and improve until we arrive at the best solution.

• We are all scouts
  
  

Another core value we hold is that we are all scouts. We believe in leaving things better than we found them. This means we take ownership of our work and strive to improve the systems and processes we touch. We encourage our team members to be proactive in identifying areas for improvement, and we value those who take the initiative to implement positive changes. Our goal is to leave a lasting, positive impact on our projects and our team.

• We are data-driven
  
  

Lastly, our team is data-driven. We believe that making informed decisions based on data is crucial to our success. Our team uses data to guide our decision-making process and to identify opportunities for improvement. We are committed to using data to continuously monitor and optimise our models and processes to ensure that we are delivering the best possible outcome for our customers.

Tech Stack

We have to support 120k requests per second running with ML models in production, answering within 10 milliseconds! We have this running in production with Python and GoLang microservices using datalakes, GCS, Redis, Kinesis or Kafka. All this is constantly deployed in GCP using Kubernetes and other kinds of production stacks. The current stack outputs 20 TB of daily data, making it ready to use for analytics and more with easy and low-latency access.

In the rest of the company, we also develop in Typescript for Nodejs and Scala making use of technologies like Kafka, Druid and MongoDB all over the Google Cloud Platform.

What You’ll Need To Succeed

• Minimum 3+ years of experience as an Analytics Engineer or similar data-focused role
• Strong understanding of data modeling concepts and principles.
• Proven experience designing and implementing data warehouse solutions.
• Proficiency in SQL and experience working with relational databases.
• In-depth knowledge of dbt and its capabilities in data transformation.
• Familiarity with the concept of a semantic layer and its importance in data analysis.
• Excellent communication and collaboration skills.
• Ability to work independently and manage multiple projects simultaneously.
  
  

It would be a big plus if

• Experience working in the ad tech industry
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure)
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
  
  

Why Join Seedtag?

Growth & Opportunity: A key moment to join with vast career development prospects.

Flexibility: At Seedtag, we trust you to balance work and life effortlessly with the option to a 100% remote (Please note that while we operate as a 100% remote company, we can only extend contracts within Europe in countries where we have established legal entities: Spain, Italy, the UK, Belgium, the Netherlands, France, and Germany) or hybrid work setup, depending on what works best.

Learning & Development: Online courses in ODILO, and optional English or Spanish group classes.

Inclusive Culture: We foster a supportive environment that values personal growth.

Fun & Connection: Participate in team activities, company offsites, and more!

Additional Perks

• Flexible benefits plan: Restaurant, transportation, and kindergarten vouchers.
• Health insurance: Comprehensive coverage included.
• Gympass: Access to wellness programs and fitness classes.
• Seedsave Program: Exclusive discounts to help you save for the future.
• Build your home office with a gross budget of up to 1K€ (external screen, chair, table...)
• Paid travels to our HQ in Madrid to work p2p with your squad members
• Macbook Pro M3
  
  

Ready to join the Seedtag adventure? Send us your CV and let’s grow together!

At Seedtag, we’re committed to creating an inclusive environment where everyone can thrive. We welcome diverse perspectives as they fuel our innovation and growth. Please let us know if you require accommodations during the hiring process and we’ll ensure a positive and accessible experience.