Data Engineer

Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~450 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed.

Responsibilities

We are a team of technophiles who love big things that scale. As a developer in our team, you will need to:

Develop and maintain systems that process large amounts of data, including legacy systems and gradually re-write them.
Tackle software engineering challenges in multiple languages and frameworks, mainly in big data batch processing.
Own every product that the team manages, from ideation and planning, all the way to production and monitoring.
Teach and learn. We love to inspire and be inspired and make sure that each team member has their place to grow and excel.
Work both autonomously and collaboratively with the team and other Optimove teams.

Requirements

3 years of experience writing data-intensive applications in Python.
Design and develop concurrent data pipelines orchestration with Apache Airflow
Experience working with one or more of the following Data Engineering frameworks: Apache Spark, Snowflake, DataBricks, and Iceberg.
Proactive approach for code and data quality testing frameworks. For example: pytest, behave, Monte Carlo, Great Expectations, etc…
Fluent in English.

Advantages

Hands-on data analysis experience
Hands-on backend development
Experience with CI/CD processes and application deployments
Experience with cloud development.
Experience with at least two software development language environments.