At Adore Me we take on seemingly impossible challenges. In 2011, we were founded to solve a single problem: help women buy bras online. It might seem like a simple task, but a bra is one of the most complex and personal garments in existence. Managing the design, procurement, logistics, and customer experience involved is an uphill climb, but one that built our company to take on increasingly greater challenges.
Adore Me grew into the first major online player in lingerie, as well as the first to introduce inclusive sizing in the category. We launched a wholly-owned logistics center, Adore Me Services, in 2017, the same year we became profitable (something very important to us). We've launched a pioneering try-at-home shopping service, a number of innovation-focused satellite brands, and most importantly, an affordable #sustainability model that is transforming our entire business to make sustainable clothing available to consumers of all shapes, sizes, and spending abilities.
Adore Me believes fashion can be a force for good, for everyone.
The end goal is to craft the perfect bra and ship it to millions of women. So we’re talking about scalable e-commerce, coordinating our factories & robots in the distribution center, internal tools that catalyse everything.
We’re one of those scaling technology startups. Think many small teams, DevOps, millions of users, hundreds of git repos, crazy experimenting.
It’s not all perfect. We’re always evolving and change is everywhere. So we’re either moving from Magento to microservices, from MySQL databases to a cloud DWH, moving from local environments to a serverless Machine Learning platform and there’s always some technical debt to hunt & kill. We manage a lot of uncertainty and always try to learn from our mistakes. We’re getting there.
You will work in a self-organized full-stack scrum team. Alongside AI/data people, frontend folks (angular/vue apps), test engineers, product & UX people and scrum masters.
As a data analyst you’ll be playing all day long with ELT procedures, API/message brokers/MySQL data sources, data mapping and data modeling, mart layer business calculation processes and reports. Building BI features or tools. We’re all a bit multidisciplinary so you should not be afraid to set up a VM or docker container, investigate some hanging workers or fix a failing unit test.
More concretely, data in Adore Me, can mean: enhance the DWH ecosystem, integrate various machine learning projects on top of it, work with the 30+ distinct sources exposing the data in at least 6 different technologies. Use JSON and nested data as the de-facto format. Migrate the batch processes in stream mode using cloud native technologies like dataflow, airflow, pub/sub, datastore. Build custom BI tools, expanding over the “database” borders.
DWH, BI, data, SQL, ELT, ETL, data modeling, batch, data streaming, data pipelines, cloud run, cloud functions, BigQuery, Data Science, Machine Learning, ML, Python, R, Looker, AppEngine, Dataflow, Airflow, message broker, container, MySQL, Dash, agile, scrum, kanban, continuous improvement, pair programming, unit testing, continuous integration.
You’re super experienced with SQL, DWH and BI. Very comfortable with at least a couple of frameworks and languages (GCP, Python, R). Know your data stuff so a little modelling challenge doesn’t scare you and you can survive on a linux box, R console or a Jupyter notebook.
You’re passionate about technical excellence. You know data quality processes, how to interact with APIs and message brokers, build ELT flows, standard coding style, code reviews, unit tests, documentation, refactoring, good naming. You have opinions about classical and modern data models, both business and technical KPIs and good, the Apache stack and design patterns.
You’re a builder and you want to impact the world around you. So you need to get stuff done. Problem solve. Move fast.
You’re optimistic, have a high self-worth, you speak your mind and have strong empathy for your peers. More of a team player than a lone wolf.
Competitive pay. Private health services. Trips to our Manhattan office. Crazy continuous learning. Playful mood. Foosball, Punching bag. Ping pong. Specialty coffee. Did we mention continuous learning? Hipster mansion near Cismigiu*. Lots of couches. Whiteboards everywhere. We write on the walls too. We’re hosting meetups and we’re going to conferences. Friday lunch-party, catered breakfast, craft beer-stocked fridges. Lounge chairs in the garden. Experienced engineers doing no-bullshit work. Macbooks and fancy dev tools.
* These days visiting the office is optional. We work from home as much as we can to stay safe.