Junior Data Engineer
📅 Start date
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Q3 2026 - from September, 3-month notice period accepted
🏡 Contract type
- Permanent contract (CDI), full-time
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Seniority: Junior (0-2 years of experience)
🌍 Location
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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
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Get up to speed on access: payment and billing data APIs, Data Warehouse (currently hosted in SQL)
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Understand the business model and the data behind it
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Brainstorm data and ETL/ELT pipeline architecture with the Head of Data
Business needs gathering
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Talk to the relevant teams (payment, product) to understand their data needs
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Harmonize sources and make data accessible
Build & automation
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Develop integrations into the Data Warehouse (ETL/ELT pipelines)
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Model raw data into clean tables (fact/dimension tables, right granularity)
- Automate processing with Python scripts
Delivery & quality
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Build clear dashboards for business teams
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Define and implement data validation tests
⭐ Your profile
Experience
- Seniority: Junior
- 0-2 years of experience
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Hands-on data projects (personal, academic, or internships) demonstrating very solid SQL and Python and strong data engineering fundamentals
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Appetite for a startup environment where everything is still to be built
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Big plus if you have already worked with online payment data and APIs
Technical skills
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Must-haves:
- Solid SQL
- Solid Python
- Git and Unix commands
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Data modeling fundamentals: fact/dimension tables, right granularity
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Warehouse maintenance fundamentals: full vs incremental loads, merge/upsert, re-runnable/idempotent pipelines
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AI native: proficient with AI coding tools to move fast (Claude Code preferred, Cursor/Copilot ok)
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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
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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
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Founding role: first hire of a data department under construction - you help build everything (architecture, pipelines, tooling choices) rather than inheriting a legacy setup
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Close mentorship: direct coaching from the Head of Data, who reports to the CEO - accelerated learning
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Real impact: your work is actually used by internal teams to make decisions
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Skill growth: data engineering fundamentals plus bonus topics (dbt, Dagster, cloud, payment data)