Data Engineering Manager (H/F) - CDI - Paris at papernest

Paris, Ile-of-France, France -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, Strategy Definition, Roadmap Definition, Stakeholder Management, AI Strategy, Technical Excellence, Architecture Decisions, Project Management, Team Leadership, Recruitment, Career Development, Delivery Monitoring, Code Reviewing, Python, FastAPI, AWS

Industry

technology;Information and Internet

Description

Since 2015, papernest has been transforming the way people manage their contracts, making subscription, management, and switching simple through one smart, intuitive platform. We have supported more than 2 million customers across France, Spain, and Italy. Along the way, we have continued to invest in new verticals, establishing papernest as a high-performing, innovative, and competitive scale-up in a fast-growing market. With over 900 employees, we are strengthening our position as a European market leader. We’re looking for a leader to manage our data engineering team. At papernest, tech, data and business are fully connected. The team is involved in providing the whole company with a performing, fast, and relevant data platform, product, and pipeline. In constant contact with the business and technical team, you’ll be leading the strategy and the delivery of your team. You’ll report to the Head of Data, with constant interactions with members of the comex. Key responsibilities : Leadership and strategy: Define the roadmap and key projects for your team, along with your product manager Manage complex projects and relationships, with numerous stakeholders (C-levels, other engineering teams, business stakeholders, etc.). Craft the AI strategy of the data department Ensure technical excellence: Maintain an excellent level of service (99.9% SLA) on a pipeline with more than 10 millions of event every day Take key architecture decisions with the help of your tech leads, while ensuring global consistency through your relationships with the engineering architecture team. Define and refine specs of key projects With the product manager, ensure your sprints are prioritized, sized, and delivered Management: You’ll lead and structure your team of 8 engineers based in Paris and Barcelona Manage recruitment of new members Training and career development of your team, as well of management of rituals Delivery & quality Monitor and challenge team delivery Ensure global quality by implementing processes and code reviewing Track debt creation and lead debt repayment strategy and delivery Project Examples Transcribe tens of thousand calls every day Call transcript enrichment platform with AI Develop an open address autocompletion system Our Stack and tools: Backend : Python (POO, FastAPI, asyncio, ..), ML Flow Infra : Docker, PostgreSQL, AWS, GCP, DynamoDb AI: Scaleway, MIG partitioning, Speech to Text, NER, Cursor, Others : Airflow, Grafana, Redis, EventBridge & SQS About you : Qualifications 8+ years of experience in backend or software engineering using Python Previous Management Experience of a mid-size team. Experience in designing and implementing a data engineering architecture Experience in setting up self managed infrastructure (AI architecture is a plus) Good communication skills, because you’ll discuss a lot with many stakeholders Comfortable in a fast pace environment Fluency in English. Fluency in French is a plus. But also: You’re curious, always looking out for new technologies You want to see your team members thrive You have the ambitious to build something impactful Your manager will be Michel, Head of Data. What we offer : 🌍 Grow in an international and inclusive environment: Everyone has their place at papernest! With over 46 different nationalities, it's not unusual here to start your sentence in French and finish it in English or en español ¡ 💸 Compensation: You’ll receive a Business Creator Share Warrants (BSPCE) package upon joining, according to the company’s current policy. 🏆 Perks: As a home insurance provider and supplier of green electricity and gas, we offer great deals to our employees—because our perks shouldn't be reserved just for our customers! 🩺 Health: We offer Alan, a hassle-free and paperless health insurance provider, with 50% coverage by papernest. 🍽️ Meals: Enjoy a Swile card for your €9/day meal vouchers, 50% funded by papernest. Plus, there’s breakfast every Tuesday at the office, an Ideal Garden fridge on site, and discounts at partner restaurants for healthy and balanced meals. ⛳️⛳️ Sport: access to GYMLIB service to enjoy discounted gym membership. 📚 Training: Your development matters. You’ll have access to continuous training tailored to your goals—whether they’re technical, linguistic, or managerial. 📈 Career growth: Multiple paths are open to you to grow—by deepening your expertise or exploring new directions. We're here to support your professional ambitions. ✨ Remote work: Benefit from 2 days of remote work per week to boost your focus and productivity. ⚖️ Legal advice: Enjoy privileged access to Ekie for personalized legal and tax advice, helping you handle all your administrative needs with peace of mind! Hiring Process : First call with HR team Interview with our Head of Data (including a business case) Interview with our Chief Technical Officer (including one technical test) Interview with our Cofounder and Managing Director If this is your challenge, don't miss it! We look forward to meeting you, no matter your gender, race, age, religion, disability, or sexual orientation. Our selection processes and workplace are inclusive and adapted for everyone. Ladies, we strongly encourage you to apply! Even if you feel that you do not meet all the criteria mentioned in this offer, please note that they are only indicative. Your application will be considered with great interest. Parity and diversity are an asset for our teams!

Responsibilities

The role involves defining the roadmap, leading strategy, and ensuring the delivery of the data engineering team, while maintaining high service levels for the data platform and pipelines. Key duties include managing complex projects, crafting the AI strategy for the data department, and making critical architecture decisions.