About Syrup

🌍 In a world with deep supply chain disruptions, true omni-channel networks, and sustainability-minded consumers, there is a need for next-generation inventory systems.

🍯 That’s why we are building Syrup, an AI-powered predictive software for inventory decisions in commerce. By leveraging more data in real-time, we empower merchandising and planning teams with allocation, ordering, and planning recommendations.

🚀 Our mission is for commerce to no longer be a wasteful industry, as our intelligent platform empowers inventory excellence at every step in the value chain.

👔 We're VC-backed by Google's AI fund (Gradient Ventures), as well as former executives from Adidas, Zalando, ASOS, Reebok, Bonobos, Salesforce, ThredUp, and Stripe. We're working with fast-growing brands such as Faherty, Reformation, and Desigual.

About The Role

As a Senior Data Engineer, you will be an integral part of our core team, driving the development of our groundbreaking data ingestion and processing pipeline. This role offers a unique opportunity to contribute to a predominantly greenfield project in a fast-growing, machine-learning startup. You will collaborate closely with a dynamic and diverse team of data scientists, software engineers, business experts, and visionaries.

In this critical engineering function, you will play a key role in revolutionizing how inventory decisions are made for apparel brands and retailers. Join us on our mission to empower 100x better decision-making through the creation of intuitive and predictive software!

You Will

• Lead the development and implementation of our state-of-the-art data ingestion and processing pipeline.

• Partner with product managers, data scientists, and other engineers to deliver an accurate and robust data infrastructure managing first and second-party data.

• Collaborate on a predominantly greenfield project, leveraging your expertise to drive innovation and deliver impactful solutions.

• Contribute to a fast-growing startup, where your ideas and contributions will have a direct and meaningful impact.

• Be part of a dynamic and diverse team that values collaboration, creativity, and pushing the boundaries of what's possible.

• Play a pivotal role in building intuitive and predictive software that will redefine decision-making processes in the industry.

You Have

• Proven experience in a fast-paced startup environment, successfully building new systems from prototype to production.

• Collaborative mindset, able to work with customers, partners, Customer Success, Product and Analytics teams.

• Demonstrated pragmatic technical judgment in selecting and adapting data processing infrastructure, with a focus on scalability and building a robust data pipeline.

• Ability to start small and incrementally extend application functionality while improving scalability and performance.

• Strong commitment to operational excellence, ensuring the smooth operation of an always-on, always-shipping SAAS product.

• 4+ years of experience as a Data Engineer

Deep technical expertise in:

• Information Architecture, Data Engineering, and Data Warehousing, including proficiency in maintaining data quality, data versioning, and data documentation.

• Database architecture and data modeling, optimizing index performance, handling large time series datasets, working with stored procedures, star schema, snowflake schema, dimension tables, and fact tables.

• In-depth knowledge of PostgreSQL and its optimization techniques.

• Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect.

• Proficiency in Python, Pandas, and working with columnar formats like parquet and avro.

• Proven expertise in integrating large-scale external datasets, including tabular, text, and image data, through APIs, FTP, S3, or web scraping, building reliable and repeatable pipelines.

• Strong background in cloud deployment, infrastructure automation, and CI/CD, particularly with AWS S3, EC2, Lambda, and the ability to seamlessly integrate cloud-based infrastructure into the development lifecycle.

• Experience with data visualization/BI tools like Tableau, DOMO, PowerBI, or Looker is a plus

What We Offer

Fun, friendly, respectful, collaborative, diverse, driven, mission-oriented – that’s Syrup! We're a group of driven people who want to make a difference in the world by building game-changing software. We care deeply about people, planet and