Data Engineer

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 550 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. At Optimove, the Data Engineer position is a central role in the Tech Org. The Data Engineering (DE) team is a Team that plays a significant role in the ongoing cloud technologies. The ideal candidate is a data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff. Responsibilities: Deploy and maintain critical data pipelines in production. Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment. Design infrastructural data services, and to build scalable data solutions. Work in Agile process with Product Managers and other tech teams. End-to-end responsibility for the development of data crunching and manipulation processes within the Optimove product. Design and implement data pipelines and data marts. Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the Optimove product. Explore and implement new data technologies to support Optimove’s data infrastructure. Requirements: B.Sc. in Computer Science or equivalent. 3+ years of extensive SQL experience (preferably working in a production environment) Experience with programming languages (preferably, Python) – a must! Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment). Strong capability in schema design and data modeling. Understanding of micro-services architecture. Familiarity with Airflow, ETL tools, Snowflake, and MSSQL. Quick, self-learning and good problem-solving capabilities. Good communication skills and collaborative. Process and detailed oriented. Passion to solve complex data problems. Desired: Experience with GCP services. Experience with Docker and Kubernetes. Experience with PubSub/Kafka.