✨ About us
code.store is a French software services company on a mission to enhance business operations by building smart, lean software. We use AI agents, low-code platforms, and SaaS tools to deliver solutions that are fast, efficient, and truly owned by our clients — no technical debt, no long-term dependencies.
We’re both a consulting partner and a delivery powerhouse. That means we don’t just build what clients ask for, we dig deep to understand how they work and how we can help them work better.
🏠 Offices
Our company is headquartered in Paris, yet our tech team operates remotely.
⚡Our Values
- Excel at what we do
- Provide the best technical and functional quality to our clients
- Kindness, honesty, fun, and trust
- Stay curious and always keep learning
✏️ Your responsibilities
- Own the end-to-end design and implementation of the Modern Data Stack in a highly fragmented and low-maturity environment
- Build a production-grade data foundation from scratch, ensuring reliability, scalability, and fast time-to-value
- Integrate and reconcile multiple data sources (CRM Batch, Piano, WordPress, analytics tools) into a single source of truth
- Design and implement a robust data warehouse architecture aligned with business-critical use cases
- Develop, optimize, and orchestrate resilient data pipelines (Airbyte, SQL, orchestration tools)
- Define and implement a Master Data Management approach (Golden Record / Master ID) across inconsistent data sources
- Take full ownership of data quality, including monitoring, validation, and continuous improvement processes
- Translate ambiguous business needs into clear, scalable data models (users, subscribers, interactions, churn signals)
- Deliver ready-to-use datasets for churn prediction, segmentation, and CRM activation under tight timelines
- Make and defend architecture and tooling decisions, balancing speed vs long-term sustainability
- Ensure data is actionable and accessible for data science, product, and business stakeholders
- Enable daily operational use cases (e.g., churn scoring, CRM automation) with high reliability
- Proactively communicate trade-offs, risks, and limitations to both technical and non-technical stakeholders
🎯 You’re the right candidate if you have
- 4+ years of hands-on experience in data engineering within Modern Data Stack environments
- 4+ years of deep experience with advanced SQL and data transformation at scale
- 4+ years of experience building robust, production-grade data pipelines (ETL/ELT)
- Proven experience with data warehouse architecture (BigQuery, Snowflake, Redshift, or equivalent)
- Strong understanding of data modeling (analytical & operational) and data system design
- Solid experience with data quality frameworks, MDM, and identity resolution in complex environments
- Practical understanding of business-driven use cases (churn, engagement, CRM, segmentation)
- Ability to work autonomously in low-structure, high-ambiguity environments
- Strong ownership mindset with a focus on delivering business impact, not just technical output
- English proficiency at B2 level or above
🧩 Will be a big plus
- Experience working in subscription-based businesses, digital media, or marketing-driven organizations
- Proven track record of building a data platform from scratch under time and resource constraints
- Hands-on experience with Airbyte, dbt, and modern orchestration tools
- Experience integrating with CRM and product analytics platforms (e.g., Batch, Piano, similar)
- Exposure to churn modeling pipelines, feature engineering, and production ML/data science workflows
💻 Tech stack on different projects
Backend: Xano (low-code back-end as a service, database, and API layer), NestJS, Node.js, TypeScript, TRPC
Frontend: Next.js, Custom React frontends (some Content Management Systems provide their own
🤝Hiring process
- 1h interview with HR and a technical prescreening in English. Please note that your answers will be recorded on video and shared with our tech team for further review
- 1.5h Technical interview
- 30 min interview with CTO
