Senior Data Engineer

✨ 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