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

Dot World is a fast-growing Venture Builder and SaaS Studio, operating several subscription SaaS products a 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 preferred, Cursor/Copilot ok)

• Nice-to-haves (we do not filter on these):

  • dbt, Dagster

  • A cloud warehouse (Big Query, 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: fluent

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: AI coding tools fully embraced to move fast

• Flexibility: hybrid in Lausanne or remote in Europe

• Outlook: a department set to grow fast, with real opportunities to progress

The challenges

• A brand-new department: a team of two, no established data community yet - the Head of Data supports you daily, but you need to enjoy autonomy and ambiguity

• Everything is still to be built: few existing processes, docs, or standards - a playground for some, a real change of pace for…