Analytics Engineer Intern

Hi, we’re Back Market.
We’re here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new.
Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have.
Are you ready to join us? 
Working as an intern in the Data Analytics and Insights - Analytics Enablement team at Back Market, you'll have the chance to contribute to the backbone of our data-driven decision-making processes. By assisting in the development and optimization of data pipelines, model creation and analytics tools, you'll play a vital role in empowering teams with reliable and actionable insights. Join us in enhancing the efficiency and effectiveness of our data infrastructure, driving innovation and excellence in the refurbished electronics market.

YOUR MISSION (IF YOU ACCEPT IT): 🥇

• Implement an observability tool for our transformation pipeline (using DBT)
• Manage data pipelines and assets generated by different frameworks (e.g., Spark, Pandas) and stored in various locations (S3, Kafka, Snowflake, BigQuery).
• Ensure consistency in metadata standards for data transformation jobs and generated data assets to allow a proper monitoring.
• Address key questions related to our data assets: Where does the data originate? Who is the owner of the data? Has it been tested? Is it documented?
• Develop a/some dashboard(s) that enable an efficient tracking of our data transformation and its efficiency (including infra, documentation, quality/testing, cost,etc…) 
• Aim to host the solution on our Google Cloud Platform (GCP) and use tools like Datadog and Tableau software.

YOU ARE IN THE RIGHT PLACE IF: ⭐

• Mandatory: Currently enrolled in your last year of an Engineering School with a data specialisation or a data-related University Master degree.
• You have previous experience in Computer Sciences (e.g Backend Development) or Data Engineering (including analytics engineering)
• You have Google Cloud Platform (GCP) knowledge
• You have knowledge of metadata, would be a plus
• You have worked on infra topics/projets
• You know how to work in autonomy 
• You like to do concrete things and you are not afraid to get your hands dirty 
• You are an amazing team player
• You are fluent in English - French is a plus
• You are looking for a 5 or 6 month full-time internship from July 2025 - December 2025
• Your current French university/school can provide an internship agreement

RECRUITMENT PROCESS: 📅

• Interview with the Campus Recruitment Team member (30min)
• Technical fit interview (Q&A) with the tutor (45min)
• Team fit interview with one or two other members of the team (30min)

WHY SHOULD YOU JOIN US ? ✌🏼
At Back Market, we’re committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it’s one of the reasons we’re such a high-scoring certified B Corp company (93.2).
No matter your role and seniority level, you’ll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like: - A mission driven work environment where your day to day makes an impact on the planet. Seriously.- Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days. - Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training. 
At Back Market, we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values. We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications. 
If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.