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 — Client Access to Data

Help us reinvent how ecommerce operators draw insights from their data.

As a Junior Data Engineer at Bubbi, you'll help build a new AI-powered analytics product that turns natural-language questions into trusted, actionable insights for our clients. You'll work across our modern stack with LLMs, BigQuery, Python, and FastAPI to shape the foundations of a system that processes large-scale behavioural data and generates meaningful business intelligence. We're a small, fast-moving team, and you'll have real ownership from day one. You'll contribute to everything from building data pipelines to optimizing query generation and helping design the engine that powers our insights. You don't need to know everything already we're looking for an analytical, curious engineer who learns quickly and enjoys getting hands-on. You'll collaborate closely with a senior engineer who will support your growth as we ship product together. If you want to join early, build impactful features, and shape both the product and our ways of working, we'd love to meet you.

What you'll do

You will develop next-generation analytics solutions that power smarter e-commerce decisions by applying the latest AI models to deliver value-creating solutions for our clients. In your work you will extend and tidy FastAPI endpoints for analytics access, expose selected KPI metrics via API. Additionally, you will integrate and optimize OpenAI's API to build a secure, reliable, and high-performing product. You'll ensure that all AI-driven components operate safely at scale and contribute to a robust overall architecture.

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

Master's 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.