Junior Data Engineer

📅 Start date

• Q3 2026 - from September, 3-month notice period accepted

🏡 Contract type

• Permanent contract (CDI), full-time

• Seniority: Junior (0-2 years of experience)

🌍 Location

• Hybrid (Lausanne) or 100% Remote (Europe)

💼 About the role

DotWorld is a fast-growing Venture Builder and SaaS Studio, operating several subscription SaaS products at scale. Data is recognized as a strategic pillar of the group, and we are now building our data department in-house.

As a Data Engineer, you will join this department as it takes shape, working alongside its Lead. Your mission: grow our Data Warehouse. You will help consolidate and extend the scope of our data - payments as well as product data - and model our payment flows, so we have reliable data ready for reporting and decision-making.

Your work will directly shape how the group is steered: the pipelines you build will make it possible to compute customer LTV, define our target CPAs, and thus drive our advertising spend. A role where you will learn a lot - and where what you build actually gets used.

👥 The team

You will join the data department, reporting directly to the CEO and currently being built from the ground up. The team starts at two: Youssef JANJAR, our Head of Data and your direct manager, and you - the department's first hire. The team is set to grow quickly: you will have a front-row seat in a "build everything" environment. You will also work closely with the payment and product teams.

📂 Your responsibilities

Onboarding & scoping

• Get up to speed on access: payment and billing data APIs, Data Warehouse (currently hosted in SQL)

• Understand the business model and the data behind it

• Brainstorm data and ETL/ELT pipeline architecture with the Head of Data

Business needs gathering

• Talk to the relevant teams (payment, product) to understand their data needs

• Harmonize sources and make data accessible

Build & automation

• Develop integrations into the Data Warehouse (ETL/ELT pipelines)

• Model raw data into clean tables (fact/dimension tables, right granularity)

• Automate processing with Python scripts

Delivery & quality

• Build clear dashboards for business teams

• Define and implement data validation tests

⭐ Your profile

Experience

• Seniority: Junior

• 0-2 years of experience

• Hands-on data projects (personal, academic, or internships) demonstrating very solid SQL and Python and strong data engineering fundamentals

• Appetite for a startup environment where everything is still to be built

• Big plus if you have already worked with online payment data and APIs

Technical skills

• Must-haves:

  • Solid SQL

  • Solid Python

  • Git and Unix commands

  • Data modeling fundamentals: fact/dimension tables, right granularity

  • Warehouse maintenance fundamentals: full vs incremental loads, merge/upsert, re-runnable/idempotent pipelines

  • AI native: proficient with AI coding tools to move fast (Claude Code preferre