Frontend Web Engineering Manager (F/M)

Role overview QIMA seeks a Senior Manager of Data & Web Engineering based in Paris. This position leads a team dedicated to developing and enhancing platforms that drive marketing and customer engagement. The work centers on both data and web engineering, with a focus on supporting business growth and outreach. Key responsibilities Guide and mentor a team handling data and web engineering initiatives. Collaborate with other departments to ensure technical solutions fit business goals. Supervise the development and improvement of scalable data infrastructure. Contribute to web technology projects that advance marketing efforts and customer connections. Collaboration This position works closely with cross-functional teams, making sure technical systems support company needs and can adapt as the business evolves.

About Mistral AIAt Mistral AI, we harness the transformative potential of artificial intelligence to streamline tasks, conserve time, and foster creativity and learning. Our technology is engineered for seamless integration into everyday workflows.Our mission is to democratize AI through high-performance, optimized, and open-source models and solutions tailored for enterprises, whether on-premises or in the cloud. Among our offerings is le Chat, an AI assistant designed to enhance both personal and professional life.We pride ourselves on being a vibrant, collaborative team, united by our passion for AI and its capability to revolutionize society. Our diverse workforce excels in competitive environments and is dedicated to driving innovation. Our teams are spread across France, the USA, the UK, Germany, and Singapore, characterized by creativity, humility, and a strong team spirit.Join us in shaping the future of AI at Mistral, where your contributions can lead to significant societal impact. Discover more about our culture at https://mistral.ai/careers.

Role overview Alten is looking for a Senior Data Engineer to join the team in Paris. This role focuses on designing and building data solutions that support business intelligence and analytics efforts. What you will do Design and implement data architectures and pipelines Support business intelligence and analytics projects with reliable data solutions Work to optimize data systems for performance and integrity Location This position is based in Paris.

We are seeking a dynamic and detail-oriented Web Project Manager to lead our digital initiatives at myjobcompany1. In this pivotal role, you will oversee the planning, execution, and delivery of web projects, ensuring they meet client expectations and business objectives.Your responsibilities will include coordinating between cross-functional teams, managing project timelines, and communicating effectively with stakeholders. You will be instrumental in driving project success from conception through to completion.

As a Senior Data Engineer / Architect reporting to the Head of Network Automation, you will play a pivotal role in designing the overarching data architecture, ensuring scalability and robustness of data solutions.Your responsibilities will include overseeing data engineering efforts, implementing data governance policies, and maintaining the quality and management of metadata.This position requires close collaboration with data scientists and DevOps teams to ensure seamless integration and optimal performance of data solutions.Moreover, this role includes a technical leadership aspect, acting as a Tech/Dev Lead, supervising the technical aspects of the Data Engineers/Devs team or squad, and guiding best development practices.Your key responsibilities will involve:Architecture Design: Crafting the architecture for data lakes and warehouses, ensuring they are scalable and high-performing.Data Engineering Oversight: Supervising the development and optimization of data pipelines, RESTful APIs, and ETL processes.Data Governance: Implementing data governance policies, ensuring data quality, and managing metadata.Technical Collaboration: Collaborating with data science and DevOps teams to integrate data solutions within existing infrastructure.Technical Leadership: Experience in managing technical teams, solving complex technical issues, and mentoring on best development practices.

Join Vizzia as a Senior Data Engineer and play a pivotal role in transforming data into actionable insights. Collaborate with cross-functional teams to design and implement robust data pipelines and solutions that enhance our analytics capabilities.

Join Talan as a Senior Data Engineer and leverage your expertise in Dataiku to drive innovative data solutions. In this pivotal role, you will collaborate with cross-functional teams to design and implement scalable data pipelines and analytics frameworks. Your contributions will empower data-driven decision-making and enhance business intelligence.

About UsYubo is the premier social discovery application designed to help users forge new friendships and engage in meaningful online interactions. By removing likes and follows, we enable our users to be authentic and connect genuinely.We are at the forefront of transforming how Generation Z socializes online, boasting millions of active users. Our mission is to redefine social connections both now and in the future.Our diverse and international team is passionately dedicated to our cause. As a leading social platform, we bear the responsibility of creating a safe digital environment for our community. Safety is integral to our identity, and we prioritize user protection, support, and education while collaborating with the tech industry and NGOs to establish top-tier child protection standards.Join us on this thrilling journey and play a key role in shaping the future of social interactions!Role Overview:We are in search of a Senior Data Engineer who thrives in a dynamic environment where experimentation is the standard. You will not be confined to a single squad; instead, you will engage with various initiatives, primarily supporting our product squads as they swiftly prototype and implement new data models.This position is a vital part of the Infrastructure team, granting you significant ownership. You will be tasked with designing data models from the ground up and overseeing their production. Collaborating closely with DevOps, you will optimize databases and servers, allowing you to excel in creating clean, scalable, robust, and cost-effective data pipelines—an essential aspect of our profitability!As a key contributor during project kick-offs, you will participate in design discussions, critically evaluate proposals, and ensure that implementations are feasible.If you have a passion for engaging in fast-paced projects, discussing architecture with backend developers, and developing data models capable of scaling under heavy loads, this is the perfect opportunity for you.

Role Overview nexton is hiring a Senior Data Engineer to strengthen infrastructure and reliability for Audit and ETL workflows. This position is based in Paris and focuses on building and improving data pipelines that underpin essential business operations. What You Will Do Design, implement, and refine data pipelines to support audit and ETL processes Optimize systems for scalability, data quality, and operational efficiency Work closely with other engineers to develop solutions that meet business needs Who We’re Looking For Proactive mindset and a collaborative approach to problem-solving Strong interest in using data to address complex technical challenges Experience with infrastructure and reliability in data engineering environments If you enjoy tackling new challenges and want your work to have a direct impact on data quality and business outcomes, nexton welcomes your application.

Role Overview Talan is hiring a Senior Data Engineer with a focus on Databricks for a permanent position in Paris. This role centers on building and improving data pipelines using big data tools. The Senior Data Engineer works closely with teams from different disciplines to turn raw data into useful insights. Maintaining data quality and making information accessible across the company are key priorities.

Join Aircall, a groundbreaking unicorn company and AI-driven customer communications platform, empowering over 22,000 businesses worldwide to enhance revenue generation, expedite issue resolution, and expand customer-facing teams. We are revolutionizing customer communication by integrating voice, SMS, WhatsApp, and AI into a unified workspace.Our success is fueled by a straightforward principle: enable teams to work smarter, not harder. With our AI Voice Agent, we automate routine calls, while AI Assist optimizes post-call tasks, and AI Assist Pro offers real-time guidance, allowing our teams to excel in their roles. This results in increased revenue, quicker resolutions, and scalable teams.Headquartered in Paris, with a strong presence in North America centered in Seattle, we also have teams in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. Our product is beloved by customers, and our business is rapidly expanding, supported by top-tier investors and driven by swift AI advancements across various product lines.At Aircall, you will be part of a dynamic company that values ambition, product focus, and effective execution, providing real impact, fast decision-making, and substantial growth.Our Work Culture: We prioritize customer satisfaction, data-driven decisions, and meaningful outcomes. We embrace ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative and fast-paced environment where trust and impact are paramount, you will find your place with us.We are seeking a dedicated and enthusiastic Senior Data Engineer to become an integral part of our expanding Engineering Team. In this pivotal role, you will manage our analytics and event platform stack.As a member of the Analytics & Data Platform team, you will develop features for our global customer base of over 22,000 companies. Your contributions will unlock data value, enabling our clients to make informed decisions through real-time insights, monitoring, and detailed analytical reports.

Dashlane seeks a Staff Platform Engineer - Web to join the Paris team. This position focuses on building and maintaining the core web platform, with an emphasis on performance and user experience. Role overview The Staff Platform Engineer - Web will play a key part in shaping development processes and setting technical direction for web projects. The work centers on delivering secure, efficient solutions that support Dashlane’s standards for quality and reliability. What you will do Lead efforts to improve and maintain the web platform Guide development teams with technical expertise Focus on optimizing performance and user experience Who we’re looking for Experience building and maintaining web platforms Strong interest in technology and user-focused design Enjoys working collaboratively and sharing knowledge Brings innovative ideas to technical challenges

Are you looking to join a leading fintech company in credit and insurance, known for its strong growth, innovation, and an abundance of projects? If so, this opportunity could be perfect for you!As part of the Data, AI & CRM department, you will join the Data for Business team responsible for developing data and AI products across all our operations.In an agile environment, you will be part of a team of 5, including data analysts, data engineers, and a Product Manager.Your responsibilities :Define, design, and implement strategies related to the Data Platform:Architecture (currently using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Azure exposure) in collaboration with the Architecture teams to ensure cost-effective availability of data;Ensure Data Platform security by working closely with the Group's Cybersecurity teams;Functional coverage (tools, business functions) for the Group and feeding the Bronze layer, which includes implementing and maintaining reliable and efficient data pipelines using Python (ETL/ELT approaches);Build the Silver layer (customer references, opportunities, products, consent, etc.) aligned with business needs, including implementing and maintaining DBT pipelines and providing meta data, especially data models;Monitor activity to ensure data reliability for all our operations.Define, design, and implement the data governance strategy:Contribute to the implementation of data governance (Fluidity, Data Quality, outreach, cultural awareness) with business units and data consumers (Data Analysts, Finance, Data Scientists, etc.).Organize the framework and processes:Establish and promote modern engineering practices: CI/CD, automated testing, infrastructure as code, GenAI for Data, MCP Data Platform, particularly in collaboration with Software Engineering teams.Communicate and collaborate:Be the point of reference for the data engineering team (team leadership, code reviews, skills development) and assist in team recruitment.Maintain an active watch on cloud and data technologies to propose continuous improvement initiatives.

Join our dynamic team at nexton as an Experienced Web Analyst! In this pivotal role, you will leverage your analytical skills to turn data into actionable insights, driving user engagement and enhancing our digital strategy.

About the Role Nexton is hiring a Data Engineer Manager to guide its data engineering team in Paris. This position centers on leading projects, supporting team growth, and working closely with other departments to strengthen data architecture and processing. Main Responsibilities Oversee data engineering projects from planning through delivery Mentor and develop team members Collaborate with cross-functional teams to improve data systems Drive the creation and optimization of data pipelines Ensure data assets remain accurate, available, and secure Location This role is based in Paris.

About KovaleeEstablished in 2020, Kovalee is revolutionizing the mobile app landscape with an ambitious mission: to empower app developers to achieve top rankings in their respective niches, irrespective of their resource limitations. Leveraging cutting-edge technology and our expertise in user acquisition, app store optimization, product enhancement, and monetization strategies, Kovalee enables developers to concentrate on their art while we propel their apps’ success. Our flagship applications, including Bend, PepTalk, and ParrotPal, exemplify our achievements, having reached the pinnacle of their categories.Honored as one of the fastest-growing startups of 2024 by Sifted, Kovalee boasts a vibrant, diverse team of over 20 professionals hailing from more than 15 different nationalities, all driven by a common vision: to redefine the mobile app industry.We invite you to join our team as a Senior Data Engineer. In this pivotal role, you will be instrumental in enhancing our data infrastructure. You will architect the team's strategic roadmap, optimize data workflows, and guarantee the delivery of reliable, high-quality data across the organization, empowering more informed decision-making in User Acquisition, Product Management, and Creative Development.

Actian stands at the forefront of hybrid data management, cloud data warehousing, and data integration technologies. We are proud to partner with esteemed organizations like Bloomberg, Intuit, Lufthansa, and Citibank, enabling them to tackle their most intricate data challenges and drive transformative change through innovative solutions.As a vital member of the Actian and HCL Software family, Zeenea France, headquartered in Paris, is on an exciting trajectory of growth. We are currently in search of a Senior Engineering Manager [gn] who will lead and inspire a team of skilled engineers dedicated to creating world-class data intelligence solutions that simplify, secure, and democratize complex data.In this pivotal role, you will champion technical excellence, nurture innovation, and ensure that our product vision aligns seamlessly with engineering execution. You will collaborate closely with cross-functional teams—product, design, and architecture—to deliver scalable, high-quality software solutions that empower our global data platforms.Join us in a vibrant environment where your leadership will significantly impact team performance, product quality, and the overall engineering culture. As a hands-on technical leader, you will guide your teams in implementing best practices, adopting modern architectures, and optimizing development processes to expedite delivery while upholding Actian’s commitment to excellence.

Join Our TeamDoctolib is seeking a Senior Data Engineer - Analytics to become a vital part of our Analytics Engineering team.In this role, you will be instrumental in creating data products that yield actionable insights and enhance decision-making across Doctolib, contributing to the evolution of healthcare access. You will collaborate with a dynamic team to develop data pipelines and solutions that bolster our organization's capacity for data-driven decision-making and support our AI initiatives.At Doctolib, our tech team is dedicated to crafting innovative products and features that significantly improve the day-to-day experiences of both care teams and patients. We operate in feature teams within an agile framework, fostering close collaboration with product, design, and business teams.Your Key Responsibilities:Develop and maintain data pipelines using Python (Dagster) to align with Doctolib's AI strategy.Build and sustain data marts in BigQuery using SQL/Jinja, DBT.Create insightful dashboards for high-level reporting utilizing Tableau.Engage with stakeholders to identify their data requirements and outline specifications.Ensure data integrity, security (compliance with GDPR), and accessibility through continuous monitoring and optimization.Our Technical Environment:Our solutions are built on a fully cloud-native platform that supports web and mobile interfaces, multiple languages, and is tailored to various country and healthcare specialty needs. We modularize our platform to operate in a distributed architecture leveraging reusable components.Our technology stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We ethically leverage AI across our products to empower patients and health professionals. Learn more about our AI vision here and our first AI hackathon here!Our data stack incorporates Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for business intelligence and reporting.

Join our dynamic Analytics Engineering team as a Senior Data Engineer - GCP/BigQuery at Doctolib, where you will play a crucial role in enhancing healthcare accessibility through data-driven insights.Your primary objective will be to develop innovative data products that facilitate informed decision-making across the organization. You will collaborate with a talented team to create robust data pipelines and solutions that support our AI strategy.At Doctolib, we pride ourselves on fostering a collaborative and agile environment, working closely with product, design, and business teams to build features that improve the everyday lives of healthcare professionals and patients.Your responsibilities will include:Designing and maintaining data pipelines using Python to align with Doctolib’s AI initiatives.Developing and managing data marts in BigQuery utilizing SQL/Jinja and DBT.Creating high-level reporting dashboards with Tableau.Engaging with stakeholders to grasp their data requirements and establish clear specifications.Ensuring data quality, security (GDPR compliance), and availability through diligent monitoring and optimization.About Our Tech Environment:Our infrastructure is fully cloud-native, facilitating web and mobile interfaces across various languages, tailored to meet specific healthcare and country requirements. We are modularizing our platform and operating it in a distributed architecture using reusable components.Our tech stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We prioritize ethical AI integration across our products to empower both patients and healthcare professionals. Explore our AI vision here and learn about our inaugural AI hackathon here!Our data stack comprises Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.