Software Engineer (PySpark)

Do you want to revolutionise how we buy clothes in a more accessible, personalised and sustainable way?

‍♂️ ‍♀️ Do you want to develop your talent in a TOP Scale Up and collaborate with the best professionals?

This could be your opportunity! At Lookiero Outfittery Group, we’re looking for a Software Engineer (PySpark)

You will work on the deepest part of the products in an autonomous and multidisciplinary product team to provide solutions according to the business needs.

Our purpose

At Lookiero Outfittery Group we are leading the transformation of online personalised shopping, making it more accessible and inspiring for everyone.

Born from the merger of Lookiero and Outfittery - two pioneering companies in the industry - we have joined forces to create Europe's leading online personal shopping platform. Our mission is to empower thousands of customers, helping them discover their full potential and succeed in their everyday lives.

With a growing presence across Europe and a team of over 600 people, we are proud to shape the future of fashion through innovation, creativity and purpose.

Tareas

Key responsibilities

• You will work on Python based ecosystems with ideally hexagonal architecture and DDD.
• You will use our data platform to build high-performance, highly scalable data pipelines, and connect with data algorithms implementations to provide the best buying experience to our customers. (pySpark, Delta Lake, MLFlow)
• You will work together with the product manager and technical lead to guarantee the technical feasibility of the proposals.
• You will ensure that the solutions you work on are scalable, maintainable and accessible.
• You will contribute to the quality of the products developed through testing: unitary, integration, contract-testing, e2e, etc.

Requisitos

Skills and experience

• To feel comfortable in the project, you should ideally have at least more than 4 years of real, hands-on experience in SQL and Python based ecosystems ideally with hexagonal, DDD or event driven architecture.
• We make use of Databricks as the unified ecosystem for our data, so hands-on experience with technologies such as PySpark is required.
• Experience with ML frameworks in production. You've deployed and maintained ML models in production and you can talk about it.
• Knowledge of foundational LLM models, fine-tuning and prompt engineering.
• You are able to work with multiple teams: internal and external team members, clients and providers.
• This role is based in Spain, so professional-level Spanish is required.
• We are an international company, so the ability to read and write in English is needed.

In addition, we would especially like to see…

• It is important that you can learn, understand, and develop great practices aligned with our technical challenges.
• You are not afraid of technical challenges. You thrive on coding.
• You are passionate about new technologies and problems to solve. You’re ready to offer fresh ideas.
• You’re enthusiastic, self-motivated, proactive, self-sufficient, but also team oriented

Beneficios

What will we bring to you?

⌛ Remote work and flexible working hours. We support work and flexible hours so you can have the balance you want with your personal life.

Training Platform. We believe in training as a tool to evolve as a professional, to get the best out of you and to be always up to date!

Flexible remuneration. Benefit platform through which you will obtain interesting tax advantages and interesting discounts.

️ Company Discounts. And of course, you will enjoy discounts on your purchases.

Professional growth. Personal development plan to evolve within Lookiero.

Your impact will be tangible - and we empower people in the “how”. Working in a startup, you will see the impact of your voice, ideas and work very clearly on our business. You will be encouraged (and required) to share your opinions (of course, in a well-argumented way!). We also believe in giving freedom on how to get to pre-agreed OKRs.

If you want to be a key player in our team, see the impact of your work and are excited to learn more about us and the position, APPLY.