Senior Data Engineer (AdTech)

Argentina Brazil Colombia Latin America Mexico Python Scala Software Developer

Required skills

Big Data / expert
Scala / good
Java / expert

We are seeking a Data Engineering to join our experienced team at a rapidly growing US AdTech company. Founded by three ex-Googlers, this project provides high-scale Bidder-as-a-Service solutions in advertising technology. As part of our team, you will have the opportunity to work with cutting-edge technologies and contribute to developing innovative solutions in the field.
Are you ready to become a part of a stellar team? Let’s try!


The Client is a rapidly growing US AdTech company founded by three ex-Googlers. With a highly technical team and an excellent technological culture, it provides extremely high-scale Bidder-as-a-Service solutions in advertising technology. The company works with global businesses and has raised $28 million, including the most recent Series B raise of $15 million.


As a Data Engineer, you will be able to work on exciting projects in advertising technology. You will be responsible for the hands-on development, modification, and maintenance of various application components and interfaces. One of the key projects you will be involved in is building ETL pipelines using our internal framework. These pipelines play a crucial role in collecting and processing large volumes of data efficiently.
The project will require you to work with languages such as Scala, Java, Python, and SQL.


  • 5+ years of hands-on experience in Software development and Big Data
  • 1+ years of hands-on experience working with Scala
  • Excellent knowledge of Java with an interest in switching to Scala
  • Strong knowledge of algorithms and data structures
  • Production experience with Databricks
  • Strong skills in SQL and proven experience working with major database platforms


  • Experience with Python

Personal Profile

  • Versatile and inquisitive problem solver
  • Excellent communication and writing skills


  • Hands-on experience building ETL pipelines using our internal framework
  • Modifying existing application code or interfaces and developing new application components
  • Analyzing requirements, supporting design, developing code, testing, debugging, deploying, and maintaining programs and interfaces. Documentation of the work is essential
  • Developing and implementing databases, data collection systems, data analytics, and other strategies to optimize statistical efficiency and quality
  • Working with languages such as Scala, Java, Python, and SQL
  • Conducting code and design reviews to ensure high product quality
  • Mentoring and providing guiding colleagues and new team members
  • Collaborating with Data engineers and Product Managers to prioritize business needs and translate complex product requirements into high-quality cloud-native data solutions
  • Sharing learnings with wider engineering teams through technical demos


  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities


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