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Data Engineer


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We’re looking for strong, impactful work experience, which typically includes:

  • Bachelor's Degree in Computer Science/Engineering, Mathematics or related field
  • 2+ years of data engineering experience
  • Proficient in Python
  • Experience with relational SQL databases
  • Experience with integration of data from multiple data sources
  • Experience working with Google Cloud Platform tools and ETL tools (Alteryx)
  • Ability to work in teams and collaborate with others to clarify requirements
  • Knowledge of marketing and advertisement is not required, but you are expected to learn and understand the business logic behind the numbers, aiding media teams and analysts in producing insights for clients


Championed as one of the most exciting and forward-thinking pieces of business, you will be part of a pioneering team that works on a wide known clients business. This team brings together the best of Starcom, Digitas, Performics, and Sapient Razorfish subject matter experts, which offers a unique, multi-faceted exposure to a range of marketing issues and the ability to learn every day. It does require fast thinking, highly collaborative, and positive energy but will be very rewarding for the right person.

The Data Operations team's mission is to define, modernize, centralize, and steward all foundational elements of data management and enable delivery of value-driven analytics-ready data at scale across all lines of business and ensure that our operations are efficient and effective.

As a Data Engineer on the Data Operations team, you are responsible for managing data governance and workflow automation processes. You will be part of a team responsible for developing and delivering our GCP platform. You will support end-to-end workflows while actively collaborating with different internal stakeholders to assess data needs.

The role offers an excellent opportunity for growth and to work on a wide variety of technologies, including programming, databases, cloud infrastructures, and visualization tools. You will develop deep domain expertise and generate key insights that influence business decisions and technological solutions.


  • Access to Prepaid Medical Plan
  • Flexible schedule
  • 100% Remote work
  • 14 business days of vacation
  • English lessons
  • Discounts on courses, trainings and universities
  • Access to E-Learning platforms
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