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 product. Concretely, we offer:

Remote First: We’re a remote first team across Europe and East Coast North America. For our colleagues in New York, you can come into our office in SoHo as often as you like.
Syrup summits: We bring the whole global team together every quarter for our Syrup summits. Previous locations: Barcelona, Madrid, Los Angeles, Warsaw, Boston, New York.
Equity: We offer generous equity compensation for all our early employees.
Generous health, vision, and dental coverage to our employees.
Generous PTO to take all the time you need, whenever you need it.

We offer competitive base pay with the potential salary range of 70,000 - 140,000 EUR, and a similarly competitive range in other locations, commensurate with experience, generous early-stage equity package, and benefits including medical/dental/vision.

Senior Data Engineer