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We are re-engineering the laundry process from the ground up; our aim is for clinically-clean, net-zero carbon emissions for the whole process, from the collection through washing and back to delivery. This has never been accomplished and we are determined to be the first truly sustainable and hygienic on-demand laundry company in the world.

We are looking for a senior data engineer to help build and expand Oxwash’s data collection and infrastructure.

Data powers both our customer-facing web app helping customers arrange the collection, delivery, and payment for their laundry; and internally-used tooling to help our operatives (laundry and delivery staff) manage their workload. Behind the scenes, our data is also responsible for driving growth marketing and operational decision making.

You will join a small, friendly and passionate data team and will be able to shape the future of Oxwash. Our ideal candidate is someone who can help us solve and identify the problems which will inevitably crop up as we scale and expand our operations and systems to handle more orders, from more customers, in more places.

All Oxwashers are encouraged and expected to work together across our ‘Lagoons’ (our dry- and wet-cleaning hubs, where the magic happens), to propel us from strength to strength. As part of this, we would like you to work from a lagoon once every 2 weeks. We currently have lagoons in London (Battersea, Cambridge and Oxford).

Challenges you'll work on

• Develop and improve the current data architecture with ETL processes that emphasise data security, quality, timeliness, scalability, and extensibility
• Maintain and expand use cases of Oxwash’s customer data platform (Twilio Segment), including adding new sources of data and destinations of data
• Identify key events in the lifecycle of both customers and garments to capture high value insights on our processes at Oxwash
• Implement and simplify self-service data query and analysis capabilities of our business intelligence tools (e.g. MixPanel)
• Collaborate with product, growth marketing, operations, and software development stakeholders to develop, implement, and validate KPIs
• Managing data transformation and troubleshooting data processing issues

Requirements

You have

• You are able to think about the strategic business value for decision making across data management lifecycle from data collection, processing, storage, and analysis
• A strong grasp of the different data needs of analytics and engineering teams and how they can be met
• You have a solid understanding of event-driven architecture
• A desire to build and maintain clear and detailed documentation of processes and approaches
• Technical qualifications:
  • Proficient in Python and SQL
  • Experience in database construction in Amazon Redshift
  • Experience with a Customer Data Platform (e.g. Segment, Google Analytics, Snowflake, MixPanel etc.)
  • 3-5 years of experience as a data engineer, supporting operational and marketing teams

What you'll need to be successful in the role

• You are able to clearly vocalise your opinions and are willing to listen to others
• You have an interest in working with modern technologies and engineering practices
• You are able to work autonomously and with teams located across our lagoons
• You are comfortable working in a startup environment

Our interview process

• Introductory phone call (30-60 minutes)
• Take-Home Case which involves a typical Oxwash problem (4 days to do the case)
• Technical Interview: 45-60 minute discussion of Take-Home Case Results
• Values Interview (30 minutes)
• Job offer or feedback about the interview process

Benefits

What’s in it for you?

• 💷 A salary of GBP 55,000 to 65,000 per year, depending on experience
• 📆 30 days of holiday (including bank holidays), plus your birthday off too!
• 🧩 Share options following successful probationary period
• 📊 Regular reviews and support in reaching your development goals.
• 🌎 Help transform the world in a high-impact, well-funded and fast-growing startup.
• 📞 Free, on-demand mental health support through Spill.
• 💧 Free laundry (of course!). No more pairing socks in your spare time...
• 💻 We'll invest in the tech you need to do the job to the best of your ability.
• 🚲 Salary sacrifice cycle scheme

We are an equal opportunity employer and value ersity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, sexual orientation, age, pregnancy or maternity, marital status or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.