Senior Engineer, Data Engineering
3 weeks ago
Fit Collective’s product is advanced analytics using AI and machine learning with a low code front end. In the next 12 months, we will be building our shopify app that automates website updates based on manufacturing data.
OpenAI, Docker, AWS Fargate, Airbyte, Python, Scikit-learn, AWS S3, AWS RDS, DuckDB, PostgreSQL.
Establish and maintain reliable data pipelines: Building and maintaining pipelines for data ingestion from various sources, ensuring data is cleaned, transformed, and ready for use. Mapping data from different schemas into a consistent structure.
Collaborate Across Teams : Work closely with BI analysts, product managers, and designers to define and refine product requirements, ensuring seamless integration and functionality.
Optimize Performance : Identify and fix bottlenecks to ensure high performance and responsiveness of applications, driving quality and efficiency across the board.
Champion coding, testing, and deployment best practices to ensure high-quality deliverables.
Start-Up or Side Hustle Experience : AI first: Using and up to date with cutting edge AI to stay at the forefront of engineering efficiency, prototyping and product development
Technical Skills : Proficiency in Python, preferably experience with the other elements of our tech stack (see production section above)
Database Knowledge : Strong understanding of database technologies such as PostgreSQL, MySQL, or MongoDB, with the ability to design and optimize queries.
Experience building and consuming RESTful APIs, with a solid understanding of API design principles.
Cloud Experience : Familiarity with cloud platforms (AWS is ideal) and a strong grasp of CI/CD practices.
A desire to stay updated with the latest industry trends and technologies, eager to bring fresh ideas to the table.
Work Style : Hybrid (4-8 days per month in the office in London)
Employment Type : Full-Time
Salary : £70K/year depending on experience
Equity via employee share option scheme
We’re not just looking for a Data Engineer; In a trillion-dollar industry where the fit of clothing makes or breaks every sale, we stand out by addressing the root cause of the problem—variance pre-production. Poor fit, responsible for 70% of returns and putting almost a trillion dollars of revenue at risk, generates 4 billion pounds of textile waste annually and contributes to 10% of global carbon emissions.
Our unique insight into the fashion supply chain enables us to use machine learning and generative AI to simulate, predict, and ultimately prevent bad fits from being created.
Changing fit from human subjectivity to data-backed science, we increase conversion, create loyal customers, reduce returns, and significantly lower waste. By tackling these inefficiencies, we empower the fashion industry to cut emissions and textile waste, driving real progress toward sustainability.
We are building the Fit Operating System for tomorrow's fashion supply chain.
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