Data & AI Engineer at Theodo | Paris
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About Theodo
Theodo is a leader in digital innovation, helping forward-thinking companies achieve their goals through expert digital solutions. With a strong focus on technology and Lean methodologies, Theodo continues to expand its reach and services.
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About OguryOgury is a leading global adtech firm specializing in Personified Advertising solutions that prioritize privacy. We serve brands, agencies, and publishers by focusing on persona targeting rather than individuals.At Ogury, we provide extensive audience reach on high-quality publisher inventory through our exclusive data, which is meticulously obtained from millions of self-reported customer surveys, enhanced with billions of critical data points, and refined through AI. This leads to audience insights and performance metrics that are unmatched by any other adtech platform.Established in 2014, Ogury is a diverse global organization with a team of over 500 professionals across 19 countries.At Ogury, our shared vision is our strength. We believe that our diverse backgrounds and experiences are key to our success. We celebrate individuality, fostering a unique culture where everyone feels secure, has equal opportunities, and is encouraged to bring their authentic selves to work every day.Together, we are transforming the adtech landscape with values that inspire excellence, standards that promote leadership, and an inclusive environment where Ogurians feel engaged and valued.
Are you enthusiastic about Software Engineering, Data Engineering, or Product/Project Management? Join our dynamic team at Ogury by submitting your application—we will consider you for upcoming roles.This is an evergreen position, which means we are always reviewing applications and will connect with you when a fitting opportunity arises.Ogury is a pioneering global adtech firm that provides Personified Advertising solutions that respect user privacy, focusing on targeting personas rather than individuals. We aim to deliver significant audience insights and performance metrics that are unmatched in the AdTech landscape. Founded in 2014, Ogury has grown into a vibrant organization with over 500 professionals across 17 countries. We celebrate diversity and inclusion, fostering a unique workplace culture where all team members feel valued and safe to express their authentic selves. Together, we are reshaping the adtech industry with values that promote excellence, a leadership-driven mindset, and an inclusive environment where every Ogurian is engaged and feels a sense of belonging.
About OguryOgury is a premier global adtech firm specializing in Personified Advertising solutions that prioritize privacy, aiming to connect brands, agencies, and publishers by focusing on persona targeting rather than individual data.We provide advertisers with access to relevant audiences at scale, leveraging our unique data sourced from millions of self-reported customer surveys, further enhanced with billions of insightful data points and refined through AI to create unmatched audience insights and performance metrics that stand out from other platforms in the adtech industry.Established in 2014, Ogury boasts a global workforce of over 500 talented individuals across 19 countries.At Ogury, we are united by a shared vision and recognize that our strength lies in our diversity. We celebrate individuality, fostering a vibrant culture where every team member feels valued, has equal opportunities, and can bring their true selves to work every day.Together, we are transforming the adtech landscape through our core values that inspire excellence, promote a leadership mindset, and cultivate an inclusive environment where all Ogurians feel engaged and included.
About OguryOgury is a leading global adtech company specializing in Personified Advertising solutions that prioritize privacy. Our focus is on targeting personas rather than individuals, providing brands, agencies, and publishers with superior advertising solutions.We leverage our exclusive data, meticulously gathered from millions of self-reported customer surveys, combined with billions of data points and enhanced by AI. This unique approach yields audience insights and performance metrics that are unmatched within the adtech landscape.Founded in 2014, Ogury has grown into a global entity with a diverse team of over 500 professionals across 19 countries.At Ogury, we are united by a shared vision that acknowledges the importance of diverse perspectives. We celebrate our differences, fostering a vibrant culture where every individual feels secure, has equal access to opportunities, and is encouraged to bring their authentic self to work every day.Together, we are transforming the adtech industry through values that inspire excellence, setting standards that foster leadership, and cultivating an inclusive environment where all Ogurians feel engaged and valued.Join Us at OguryWe are committed to ensuring that every team member has an equitable voice within our organization and community. Engaged and respected Ogurians who take pride in their belonging are essential to our success, and we strive to create a workplace that reflects these values.
Odaseva is looking for a Data Engineer to join the team in Paris. This role centers on building and maintaining data pipelines that keep the company’s data infrastructure running smoothly. The work helps ensure data stays accurate and accessible for business needs. Key responsibilities Develop and maintain reliable data pipelines to support business operations Monitor data integrity and address issues as they come up Collaborate with teams across Odaseva to deliver effective data solutions Contribute to projects that enhance business insights and improve operational workflows Location This position is based in Paris.
Role Overview airapps is hiring a Data Engineer in Paris to help turn raw data into clear, useful insights. This role focuses on designing, building, and maintaining scalable data pipelines. The position also involves integrating data from multiple sources and supporting analytics teams with reliable, well-structured data. What You Will Do Design and develop scalable data pipelines Integrate data from a variety of internal and external sources Maintain and optimize data architecture for performance and reliability Monitor and improve data quality Support analytics teams by ensuring access to accurate, well-organized data Location Paris
At Joko, we empower consumers to shop smarter and save money. Our mission is to transform the shopping experience, helping individuals make informed decisions about their purchases.Founded in the vibrant city of Paris, Joko is a forward-thinking tech company and a certified B Corp, boasting a diverse team of over 90 professionals across Paris, Barcelona, New York, and beyond. With more than 5 million users benefiting from our services at over 10,000 merchants, we are committed to making shopping more rewarding.We continuously innovate, offering solutions like cashback, automated coupons, price alerts, and carbon tracking. Currently, we are developing an AI-powered shopping assistant designed to help users select the best products based on price, quality, and sustainability.Having achieved profitability in our core market, we are excited to expand globally, with a keen focus on the US market. Join us on this journey and help shape the future of shopping! About Our Data TeamThe Data team at Joko plays a pivotal role in converting data into actionable insights that drive innovation across the company. Within the Data & Operations department, our primary goal is to establish robust data foundations that empower all teams to make informed, rapid, and scalable decisions.Currently, our team comprises Data Analysts who handle a wide array of tasks, from building dashboards and conducting analyses to designing and managing data pipelines. We are now seeking our inaugural Data Engineer who will take charge of our infrastructure, set new benchmarks for scalability and reliability, and create a solid data platform to support Joko's future growth and AI initiatives in this dynamic environment.Key Responsibilities:Develop data as a product: Design, document, and maintain reliable datasets utilized across the organization for business reporting, experimentation, automation, and internal tools.Manage and enhance a modern data stack: We utilize Snowflake, dbt, Airbyte, and Metabase. As we expand, we plan to optimize our pipelines, strengthen orchestration, and enhance monitoring and governance.Provide actionable insights and support AI initiatives: Deliver high-quality reports, self-service dashboards, and data tools that empower teams across Product, Operations, and Marketing to analyze and act on data. Lay the groundwork for data science initiatives and AI-driven features that will shape the future of Joko’s offerings.Promote a data-centric culture: At Joko, we believe that data is everyone’s responsibility. We encourage a robust data culture by fostering collaboration and education among all teams.
Staycation
About StaycationAt Staycation, we believe that hotels should be more than just a travel destination; they should be part of your everyday life.Our mission is to unveil the hidden gems within hotels, from breathtaking rooftop views to world-class dining experiences, and transform them into urban leisure destinations.With over 4 million users across France, Belgium, and Switzerland, and a partnership with more than 2,000 premier hotels, we are redefining how people engage with their cities.Join us in our quest to reimagine urban hospitality, providing a unique escape for locals and travelers alike.
Theodo: Pioneering Digital TransformationSince 2009, Theodo has empowered innovative companies to design, develop, and deploy ingenious digital products, leveraging cutting-edge technology and a Lean approach.With exceptional growth over the past 15 years, Theodo now boasts a team of over 700 passionate Software Engineers dedicated to continuous improvement. Our expansion has led to specialized divisions (Theodo Apps, Theodo Cloud, Theodo Data & AI) focused on various technologies and industries (Fintech, Govtech, Healthtech, Consumer Products). By 2025, Theodo aims to achieve a revenue of €100M.Theodo Data & AI: Innovating with Intelligence Established in 2016, Theodo Data & AI is dedicated to guiding clients in shaping and executing their data strategies while developing state-of-the-art artificial intelligence solutions. Our growth trajectory is impressive, with over 30% annual revenue growth, creating exciting opportunities for our team.Join Our Dynamic Team:We work collaboratively across our projects, with the Lead Data & AI Engineer, Data & AI Engineer, and Product Manager ensuring impactful results for our clients.We are seeking a Data & AI Engineer to work across our Data Engineering and Data Science initiatives.- Data Engineering: Focus on data architecture, pipeline construction/migration, and data warehousing to ensure reliable data extraction, transformation, and usability.- AI/Data Science: Involve in predictive modeling, machine learning, computer vision, and MLOps.Your Responsibilities:- Deliver high-quality code within deadlines, ensuring best practices (testing, refactoring) and effective debugging for sustainable solutions.
Join Theodo as an Engineering Manager in Paris!Since 2009, Theodo has been a driving force in supporting innovative companies with the design, development, and deployment of ingenious digital products, leveraging cutting-edge technology and a Lean approach.Theodo has experienced remarkable growth over the last 15 years, now boasting a team of over 700 passionate software engineers dedicated to continuous improvement. As we expand, we have structured our organization into specialized entities focusing on different technologies (Theodo Apps, Theodo Cloud, Theodo Data & AI) and industries (Fintech, Govtech, Healthtech, Consumer Goods). By 2025, we anticipate generating €100M in revenue.Theodo Data & AI, established in 2016, is dedicated to data and AI solutions. Our mission is to guide clients in crafting and executing their data strategies, along with researching and developing state-of-the-art artificial intelligence solutions.Our company is on an upward trajectory, with Theodo Data & AI seeing over 30% annual revenue growth, creating exciting new opportunities for our team!The technical team at Theodo comprises 120 software engineers, tech leads, and architects from top engineering schools, supported by 13 Engineering Managers dedicated to their success.Your mission includes:- Leading and mentoring Tech Leads: You will support 1 to 4 Tech Leads in enhancing their skills and achieving personal growth.- Ensuring technical delivery: You will guarantee code quality (3S: stability, security, speed), adherence to milestones, and architectural robustness.- Contributing to business development: You will participate in strategic discussions with clients (CIOs, sponsors, etc.), help identify opportunities, and play a key role in pre-sales with our sales team.Your tools for success:• Direct management by Theodo's CTO or VP of Engineering• Lean management training from top Lean coaches• Access to advanced technology and resources to support your team's success
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.
About Our Missions:At Avisia, we engage with our clients on 100% data-focused projects that integrate both technical and strategic dimensions, where data drives operational performance. As a Data Engineer, you will be the architect who makes data actionable. Depending on your profile, you will contribute to building robust data platforms (Data Lakehouse) or the industrialization of complex flows intended for AI.Our clients, spanning luxury, retail, telecommunications, and banking sectors, are facing an explosion in the volume and variety of data. Your role will be to ensure the fluidity, quality, and security of these data flows.Current Projects Include:Migrating on-premise legacy systems to a Cloud Lakehouse architecture (Snowflake/Databricks). #CloudMigrationIndustrializing complex pipelines on GCP (BigQuery, Dataform) with a strong observability culture (Dynatrace) and CI/CD practices. #OrchestrationDeploying applications, APIs, and AI services (ML prediction algorithms, chatbots, etc.) #MLOpsAuditing and redesigning ingestion pipelines to reduce computing and storage costs on GCP or AWS. #PerformanceDeveloping Kafka components, exposing them via APIs, and ensuring the performance of real-time flows on an international scale. #Streaming
Vusion Group SA
Join our innovative team at Vusion Group SA as a Data Platform Engineer. You will play a pivotal role in designing, developing, and maintaining our data platforms, ensuring high performance and scalability. Collaborate with cross-functional teams to deliver state-of-the-art data solutions that drive business insights and optimize decision-making processes.
About MakiMaki is revolutionizing the HR landscape with fully autonomous AI hiring agents. Our technology streamlines the hiring process, from sourcing and screening to interviewing and selection, allowing HR teams to concentrate on what truly matters: engaging top talent and driving organizational success. Trusted by industry leaders such as H&M, BNP Paribas, and FIFA, Maki automates 90% of the screening and interviewing process, reducing time-to-hire by threefold and decreasing turnover by 20-30%.At Maki, we’re not just offering another tool; we’re shaping the future of AI-powered talent acquisition.Your Role as a Data Engineer Data EngineerAs a Data Engineer at Maki, you will create the data infrastructure that empowers our AI agents, product analytics, and customer insights. Your goal is to transform raw data into actionable insights, enabling every team at Maki to enhance decision-making, discover product opportunities, and provide an exceptional customer experience.Your responsibilities will include:Developing and maintaining essential data pipelines and models that drive product and business insights.Defining the collection, structuring, and tracking of product data to gain deep insights into user behavior and product performance.Creating clean, reliable, self-service data assets that empower Product, Customer Success, and Engineering teams to quickly explore and answer critical questions.Standardizing our metrics and data language to ensure the organization operates from a unified source of truth.Promoting data reliability and quality to guarantee our systems scale with accuracy, transparency, and trust.
Join our dynamic team at Meritis as a Data Engineer (H/F) in the heart of Paris. We are looking for passionate individuals who are eager to innovate and drive data solutions that empower business decisions.
About the Data Engineer Internship Wakam is looking for a Data Engineer Intern to join the team in Paris. This internship offers the chance to work closely with experienced engineers and contribute to building and improving data solutions that support business goals. What You Will Do Collaborate with team members to design and develop data pipelines and systems Help implement data solutions that support data-driven projects Work with modern data engineering tools and methods Gain practical experience in a real-world business setting Location Paris
Who are we? SFEIR is a vibrant community of 900 tech experts located across France, Belgium, and Luxembourg.We assist our clients in:Developing web and mobile applications to enhance user experience.Evolving their IT architectures, Cloud and Data solutions to align with tomorrow's technologies.Leveraging data and innovating with AI.Creating value through APIs and microservices.Our Company CultureWe are passionate about technological expertise, knowledge sharing, and upholding essential values: kindness, inclusivity, excellence, freedom, and responsibility.SFEIR Paris by the Numbers400 experts, including 100 specialized in Data70 active clients in Île-de-France and 120 across the group41 Engineering Managers for personalized support370 certifications achieved in 2024Monthly events (afterworks, meetups, training sessions)An active community with around fifty conferences in 2024 (Devoxx, DevFest, ...)Your Mission Your role is to understand the context and implement a platform to enhance data utilization. You should be proficient in Python and SQL / DBT.For instance, Vincent is building the data platform for a historic delivery and tracking company. This platform aims to assist in operational management and must be flexible enough to accommodate the needs expressed by business teams.Technical Stack: BigQuery, Cloud Composer, Python, DBTOpportunities for Growth You will benefit from numerous opportunities for advancement, both vertical and horizontal:Become an evaluator in the recruitment process.Provide training through SFEIR Schools or SFEIR Institute.Speak at conferences, meetups, or engage with schools.Become an Engineering Manager while remaining technical.Additional opportunities based on your interests, discussed on a case-by-case basis.Compensation At SFEIR, there is no fixed salary grid! Each salary is discussed individually, based on your profile and aspirations. Join us and fully express your Java expertise in a stimulating and supportive environment!
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 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.
White Circle
Overview: We are seeking a talented Data Engineer to architect and develop our data pipelines from the ground up—managing petabytes of logs, events, and model traces—while establishing a seamless, reliable environment for production, testing, and research tasks.About UsAt White Circle, we focus on AI Safety by creating a robust layer that ensures the safety, reliability, and optimization of AI systems. Our platform is driven by policies, which are straightforward natural-language rules that specify the acceptable behaviors of AI models. We automatically test, enforce, and enhance these policies at scale.We have successfully raised $11M from leading investors, including founders and executives from OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, and Sentry.Our system handles over 100 million API calls every month.We develop and fine-tune our own Large Language Models (LLMs) to ensure they operate faster and more economically than any open-source or proprietary alternatives.As a small, dedicated team, we value deep engagement with challenging problems, rapid deployment of your contributions, and the opportunity to significantly impact the construction of AI safety.Your ResponsibilitiesEstablish and uphold a clean and stable data environment, allowing team members to access petabytes of traces, logs, and model outputs in their required formats without delays or manual extraction.Create and manage internal data APIs, SDKs, and tools that empower engineering, product, and research teams to explore, query, and utilize data independently of infrastructure concerns.Monitor and enhance data performance, optimizing table layouts and query plans to ensure smooth analytics and research workflows as data volumes increase.Oversee data access and governance by defining and enforcing permissions, access rules, and security protocols.Desired QualificationsProven experience building or scaling a modern data stack—such as Snowflake, ClickHouse, or event streaming—within a startup or similarly fast-paced environment.Strong proficiency in SQL and Python, with the ability to work effectively with large, complex datasets.Excellent communication skills, enabling you to collaborate directly with engineers and researchers. Fluency in English is required.Bonus: Experience with data visualization tools like Metabase, Tableau, or similar.
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