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](https://www.linkedin.com/in/youssefjanjar/), 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 preferred, Cursor/Copilot ok) - Nice-to-haves (we do not filter on these): - dbt, Dagster - A cloud warehouse (BigQuery, Snowflake…) - Experience with payment processor data **Interpersonal skills** - Curiosity: you ask the right questions - Autonomy, for a junior profile - Comfortable engaging with business teams (payment, product) to gather and challenge their needs **Language skills** - English: fluent (working language) - French: a plus (office in Lausanne) **✅ What makes this role attractive** - Founding role: first hire of a data department under construction - you help build everything (architecture, pipelines, tooling choices) rather than inheriting a legacy setup - Close mentorship: direct coaching from the Head of Data, who reports to the CEO - accelerated learning - Real impact: your work is actually used by internal teams to make decisions - Skill growth: data engineering fundamentals plus bonus topics (dbt, Dagster, cloud, payment data) - Modern coding culture…