Customer Data Engineer

Global marketing tech company recognized as a Leader by Forrester and a Challenger by Gartner, serving brands like Sephora, Staples, and Entain.
$70,000 - $80,000
Data
Entry-Level Software Engineer
In-Person
101 - 500 Employees
Enterprise SaaS

Description For Customer Data Engineer

Optimove, a leading global marketing tech company recognized by Forrester and Gartner, is seeking a Customer Data Engineer to join their dynamic team of 450+ professionals. Working with prestigious brands like Sephora, Staples, and Entain, we offer a unique environment that combines innovation with proven success.

As a Customer Data Engineer, you'll be integral to our client data operations, working with cutting-edge cloud technology and collaborating with both internal teams and client data teams across various business verticals. The role demands strong SQL expertise, analytical capabilities, and excellent time management skills.

The position offers significant growth opportunities within our rapidly expanding MarTech company. You'll be responsible for developing data transformations, constructing ETL processes, and implementing data pipelines while working directly with customers to understand and meet their business needs.

We pride ourselves on our internal growth culture, where 2 of every 3 managers were promoted from within. Our presence across NYC, London, Tel Aviv, and other locations provides a truly global working environment. The ideal candidate will be detail-oriented, highly motivated, and capable of managing multiple projects simultaneously while maintaining high-quality standards.

This role is perfect for someone who thrives in a fast-paced environment and wants to be part of a company that's on the cusp of its next growth phase. With our strong product, proven business model, and startup mentality, we offer an exciting opportunity to grow your career in the marketing technology sector.

Last updated 21 days ago

Responsibilities For Customer Data Engineer

  • Develop and support data transformations and migrations
  • Construct custom ETL processes and implement data pipelines and data marts
  • Investigate data mismatches and apply solutions
  • Support Customer Success teams to meet customer business needs
  • Interact with clients to understand business needs and collaborate on project planning and execution

Requirements For Customer Data Engineer

Python
  • Degree in Industrial Engineering and Management or similar major
  • Experience with databases and SQL
  • Outstanding technical and analytical skills
  • High attention to detail
  • Strong interpersonal and communication skills
  • Quick self-learning capabilities
  • Familiarity with Python (preferred)
  • Familiarity with Airflow, ETL tools, Snowflake and MSSQL (preferred)
  • Experience with Git (preferred)

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