are looking for a Junior Data Engineer

is a fast-growing Swedish AI technology company that helps leading e-commerce companies create personalized customer experiences in real time. Using advanced data analytics tracking and AI we understand every customer journey and optimize the experience for maximum relevance. Our customers include players such as Lyko Jula Synsam Apollo Kids Brand Store and Besikta Bilprovning. We are a remote-first company that works agilely in shorter sprints with a dedicated and fast-paced team of developers AI specialists and project managers. We are now facing an exciting growth journey both in Sweden and internationally and are looking for you who want to be an important part of that journey! Read more about us at

are looking for a Junior Data Engineer

Help us reinvent how ecommerce operators draw insights from their data. As a Junior Data Engineer at Bubbi you will help ship a brand-new product based on AI and large amounts of behavioural data that turns natural-language questions into trusted actionable insights for our clients. Were creating a new analytics engine for ecommerce using the latest LLMs on top of BigQuery with a Python/FastAPI service layer. We need an intelligent fast learner who can get hands on to put the development pace into next gear. Its a chance to join early and be part of a small fast-paced team where you can shape both the product and how we work.

What youll do

You will develop next-generation analytics solutionsthat power smarter e-commerce decisions by applying the latest AI modelsto deliver value-creating solutions for our your work you will extend and tidy FastAPI endpoints for analytics access expose selected KPI metrics via API. The role contains build and maintain SQL transformations for user-events you will propose partitioning/clustering and retention.

Besides working with the product development you will:

• Client Onboarding analysis: run the initial customer analysis and further develop it and standardize it
• Add observability logging basic metrics alerts and simple SLOs
• Product monitoring: set up KPI tracking run QA during launches and continue monitoring post-launch
• Tracking QA (web & app): validate event schemas identity/session logic issue a documented green-light for analysis
• Dashboards: Continued backend development
• Pipelines: schedule/monitor nightly jobs; validation tests and simple performance follow-up

Minimum qualifications

• Masters in Engineering/Computer Science (early-career welcome).
• Solid Python and pandas; basic Git/GitHub.
• Comfortable with SQL (BigQuery a plus): can review/adjust AI-generated queries and reason about bytes scanned/performance.
• Willing to learn FastAPI/Pydantic and Docker quickly.
• Uses AI coding assistants effectively with a verification mindset.
• Basic understanding of tracking (events sessions) and reproducibility in analytics.

Nice to have

• BigQuery basics (datasets partitions clustering)
• Cloud Run or similar; simple caching layers
• Cloud Logging/Monitoring; Looker/Looker Studio
• Basic experimentation concepts (exposure/assignment metric definitions; light stats literacy)
• Schema versioning and data contracts simple auth/access patterns (tokens service accounts)

Personal attributes

You have to be a fast learner and curious and you will quickly adapt to new technologies and environments to start creating value. You must be systems thinking and used to structure working with checklists basic SLO/SLA when needed. You are a clear communicator and have documentation habits.

Tech stack

GCP BigQuery Python/FastAPI pandas Docker Git/GitHub competence in Cloud Run Cloud Logging/Monitoring is good to have and you should have used OpenAI API models.

The work is fully remote.