Senior Data Engineer, Syrup

$140-180k

+ Equity

AWS

Python

Tableau

Looker

Airflow

Redshift

Spark

Pandas

Domo

Snowflake

Parquet

dbt

Mid and Senior level

Remote from Europe, UK, US

More information about location

AI-powered inventory optimization for apparel and footwear

Job no longer available

AI-powered inventory optimization for apparel and footwear

21-100 employees

RetailB2BArtificial IntelligenceFashionSupply ChainMachine LearningSaaSData IntegrationConsumer GoodseCommerce

Job no longer available

$140-180k

+ Equity

AWS

Python

Tableau

Looker

Airflow

Redshift

Spark

Pandas

Domo

Snowflake

Parquet

dbt

Mid and Senior level

Remote from Europe, UK, US

More information about location

21-100 employees

RetailB2BArtificial IntelligenceFashionSupply ChainMachine LearningSaaSData IntegrationConsumer GoodseCommerce

Company mission

To help retailers make better use of the world's scarce resources.

Job

Company

Role

Who you are

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
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 the job involves

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
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

Our take

In a world with deep supply chain disruptions, true omni-channel networks, and sustainability-minded consumers, there is a real need for next-generation inventory systems. Yet, close to three-quarters of supply-chain functions rely on the simplest method (spreadsheets with human oversight).

This is what Syrup is setting out to change, and its product is potentially a massive improvement on current inventory management practices. The company's AI-powered predictive software provides inventory excellence at each step in the value chain, empowering merchandising and planning teams with allocation, ordering, and planning recommendations.

The early stage company has attracted impressive funding and this will be invested in expanding the product and growing its team.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Dec 2023

$17.5m

SERIES A

Jul 2022

$6.3m

EARLY VC

Total funding: $24.8m

Company benefits

Health, dental, vision: We offer generous health, vision, and dental benefits to our employees
Quarterly Syrup Summits around the world (previously Barcelona, LA, New York, Warsaw, Boston, Italy, Madrid)
Generous PTO to take the time you need, whenever you need it
Remote Flex: We’re a remote-first team across Europe and North America. For our colleagues in New York, you can come into our office in SoHo as often as you like
Equity Compensation: We offer generous equity compensation for all our early employees

Company HQ

SoHo, New York, NY

Leadership

James Theuerkauf

(Co-Founder & CEO)

Advised some of the largest Consumer/Retail and Apparel, Fashion & Luxury players in the world on strategy and sustainability at McKinsey. MBA from Harvard.

Ferdinand Stockmann

(Co-Founder & COO)

Engineering Masters in Robotics. Focused on optimizing complex inventory and supply chain management problems at BCG.

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