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
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Lead the development and implementation of our state-of-the-art data ingestion and processing pipeline.
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Partner with product managers, data scientists, and other engineers to deliver an accurate and robust data infrastructure managing first and second-party data.
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Collaborate on a predominantly greenfield project, leveraging your expertise to drive innovation and deliver impactful solutions.
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Contribute to a fast-growing startup, where your ideas and contributions will have a direct and meaningful impact.
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Be part of a dynamic and diverse team that values collaboration, creativity, and pushing the boundaries of what's possible.
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Play a pivotal role in building intuitive and predictive software that will redefine decision-making processes in the industry.
You Have
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Proven experience in a fast-paced startup environment, successfully building new systems from prototype to production.
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Collaborative mindset, able to work with customers, partners, Customer Success, Product and Analytics teams.
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Demonstrated pragmatic technical judgment in selecting and adapting data processing infrastructure, with a focus on scalability and building a robust data pipeline.
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Ability to start small and incrementally extend application functionality while improving scalability and performance.
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Strong commitment to operational excellence, ensuring the smooth operation of an always-on, always-shipping SAAS product.
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4+ years of experience as a Data Engineer
Deep technical expertise in:
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Information Architecture, Data Engineering, and Data Warehousing, including proficiency in maintaining data quality, data versioning, and data documentation.
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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.
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In-depth knowledge of PostgreSQL and its optimization techniques.
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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.
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Proficiency in Python, Pandas, and working with columnar formats like parquet and avro.
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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.
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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.
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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:
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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.
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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.
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Equity: We offer generous equity compensation for all our early employees.
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Generous health, vision, and dental coverage to our employees.
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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.
