Junior Data Engineer Ajouter aux favoris
PARIS, 75
il y a 21 jours
Start date
- Q3 2026 - from September, 3-month notice period accepted
- Permanent contract (CDI), full-time
- Seniority: Junior (0-2 years of experience)
- Hybrid (Lausanne) or 100% Remote (Europe)
- 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
- Talk to the relevant teams (payment, product) to understand their data needs
- Harmonize sources and make data accessible
- 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
- Build clear dashboards for business teams
- Define and implement data validation tests
- 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
- 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
- Curiosity: you ask the right questions
- Autonomy, for a junior profile
- Comfortable engaging with business teams (payment, product) to gather and challenge their needs
- English: fluent (working language)
- French: a plus (office in Lausanne)
- 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
- 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 others
- A broad scope: payment + product, pipelines + modeling + dashboards + quality - you need to prioritize
- High bar on the fundamentals: no compromise on SQL/Python and data engineering rigor
- Sensitive topic: payment and revenue data - rigor and reliability expected
- Discovery interview with our Talent Acquisition Manager, Noémie - 30 min
- Live technical interview with our Head of Data Youssef and our DevOps Engineer Alexander - 1h30
- Culture interview with our CHRO, Leandra , and our CEO, David - 1h
- 1 reference check
- Professional development opportunities: at DotWorld, we believe every employee has the potential to outdo themselves. We offer opportunities to learn, grow, and shape the future of our company.
- A culture of innovation: we constantly encourage our teams to think outside the box and bring new ideas.
- Strong company growth, which means strong career prospects in the years to come.
- Everything is still to be created: every idea, every initiative counts in building our culture, our projects, and our vision together.
Plateforme de publication
JOOBLE
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