Customer Data Engineer

Job description

At Optimove, we believe people are capable of more than a single job description. You’re not hired just to fill a position- you’re empowered to shape it, grow it, and make it your own. We call this being Positionless. And Positionless isn’t just our culture. It’s our product. Optimove is the creator of Positionless Marketing, an AI-powered platform that gives every marketer the power to analyze, create, launch, and optimize independently. The result is faster execution, deeper personalization, and 88% greater campaign efficiency. Recognized as a Visionary in Gartner’s Magic Quadrant, we partner with leading brands like Sephora, Staples, and Entain. Today, more than 500 Optimovers across NYC, London, Tel Aviv, Scotland, Brazil, Estonia, and beyond are building the future of marketing together, in an environment that actively encourages ownership and growth, with two out of every three managers promoted from within. If you’re looking for a place where you can do more, be more, come grow with us. About the Role As a Customer Data Engineer, you will be a part of a strong energetic and fast-growing global team. You will be an integral part of clients' ongoing data requests and projects. You will be working closely with internal CSM teams as well as interacting directly with clients’ data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease. The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech. Responsibilities: Develop and support a wide range of data transformations and migrations Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures Investigate data mismatches and apply solutions Work side by side and support the Customer Success teams in order to meet customer business needs. I…