{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer

Ingenico is building a modern, scalable, and secure Data Platform to support strategic decision-making, advanced analytics, and data-driven products used worldwide. To accelerate this journey, we are looking for a Lead Data to structure, grow, and lead our Data Platform team.

As Lead Data, you will drive the strategy, architecture, and execution of Ingenico's Data Platform. You will lead a small but skilled team of Data Engineers and Data Analysts, ensuring the delivery of robust, reliable, and high-quality data foundations.

You will collaborate with engineering, product, business and compliance stakeholders to build a platform that is secure, scalable, and aligned with the needs of the company.

This is a hands-on leadership role blending technical ownership, team management, and data architecture expertise.

What You'll Do:

Data Platform Strategy & Architecture

· Define and execute the architecture of the Data Platform (data ingestion, processing, storage, quality, governance).

· Establish best practices for data modeling, data pipelines, documentation, and monitoring.

· Ensure platform scalability, reliability, and performance to support business intelligence and data products.

· Implement and enforce data governance, including data quality and access control.

Team Leadership & Management

· Lead, mentor, and develop a small team of Data Engineers and Data Analysts.

· Organize team workload, priorities, and delivery roadmap.

· Promote a culture of engineering excellence, ownership, and continuous improvement.

· Support hiring and onboarding as the team grows.

Execution & Delivery

· Oversee the design and implementation of ETL/ELT pipelines, batch and streaming processes.

· Partner with product and business teams to understand data needs and deliver high-value datasets.

· Work closely with cloud/platform teams to ensure alignment with infrastructure and security standards.

· Guarantee high availability, cost control, and strong operational practices (monitoring, incident response).

Collaboration & Stakeholder Management

· Act as the primary point of contact for all Data Platform topics.

· Communicate clearly about technical choices, data quality, and delivery timelines.

· Work cross-functionally with engineering leads, product managers, data consumers, finance, and compliance teams.

· Strong experience in building and operating cloud data platforms (AWS, GCP or Azure).

· Solid background in data engineering: ETL/ELT, SQL, distributed processing (Spark).

· Experience with data modeling.

· Proficiency with modern data stack tools (Databricks, ...).

· Strong knowledge of data governance, quality and security principles.

Leadership & Management

· Experience leading or mentoring data teams (engineering and/or analytics).

· Ability to coordinate delivery, prioritize, and set a technical vision.

· Excellent communication and stakeholder management skills.

Problem-Solving & Execution

· Strong analytical mindset and ability to translate business needs into technical solutions.

· Hands-on mindset with a high sense of ownership.

· Rigorous, organized, and able to operate in a fast-paced environment.

Nice to Have

· Experience building a Data Platform from scratch or re-architecting an existing one.

· Background in BI, DataOps, or MLOps.

Additional Requirements:

· Fluent English (written and spoken).

· Paris-based with hybrid work environment.