IA Data Engineer

Join our innovative team at Inetum2 as an IA Data Engineer, where you will play a crucial role in shaping data-driven solutions. In this dynamic position, you will leverage your expertise in data engineering to design, develop, and optimize data pipelines that support artificial intelligence applications. Your contributions will enhance our data ecosystem, d…

About UsAt Riskified, we empower businesses to unlock their ecommerce potential by mitigating risks. Our platform is trusted by some of the world’s leading brands and publicly traded companies to safeguard against chargebacks, combat fraud, and enhance customer loyalty. Our AI-driven fraud and risk intelligence solutions analyze interactions in real-time, offering robust identity insights that help our partners succeed in the competitive online landscape. We proudly collaborate with renowned companies across various industries, including Acer, Gucci, Lorna Jane, GoPro, and many more.We cultivate a collaborative and dynamic work environment, where innovative ideas flourish and meaningful contributions are valued. Our commitment to teamwork and excellence drives us to make a lasting impact in the ecommerce space, making Riskified a workplace of choice.About the Role*** Please note that this position will be recruited, hired, and employed by a third party.We are in search of a skilled and passionate Senior Data Platform Engineer to enhance and maintain our core data platform products, ensuring optimal performance, scalability, and stability. As a data-driven organization, we are committed to managing an increasing influx of data daily.In this role, you will be a vital part of the Data Platform team, responsible for overseeing a large-scale production data platform that serves as the backbone of our products. You will develop self-service tools to enhance platform accessibility for users in our R&D and Analytics departments, and act as a knowledge hub, consulting and sharing your expertise with your colleagues.What You’ll Be DoingLead the development of AI-ready foundations for our data platform, focusing on data quality, contracts, observability, and self-service tools that empower machine learning and AI-driven initiatives.Manage, provision, and monitor various platform products.Enhance the application infrastructure tightly integrated with our Data Platform tools.Provide guidance to development teams and mentor fellow team members.Utilize your creativity to solve complex, high-scale data challenges.Research and evaluate new technologies, starting from POC to deployment.

Join Our Team as a Field Data Collection Specialist / Surveyor!At Terry Soot Management Group (TSMG), we excel in collecting vital field data where automation falls short. Founded in 2017, we operate throughout Europe and North America, providing critical support for data-driven decision-making. Our dedicated teams capture images, videos, audio, and detailed scans to ensure comprehensive data collection for various applications.Project Overview:We are embarking on a project aimed at enhancing online mapping applications through the collection of visual and geospatial data. We are seeking enthusiastic individuals to join our team of pedestrians/surveyors across select European countries.Key Responsibilities:As a Field Data Collection Specialist, you will be equipped with a specialized backpack housing a camera. Your primary task will involve traversing designated areas, capturing high-quality footage of your surroundings to facilitate our data collection efforts.Work Schedule:Monday to Friday, with shifts ranging from 6 to 8 hours per day.

Join our innovative team at inetum2 as a Functional Data Architect. In this critical role, you will be responsible for designing and implementing robust data architectures that meet our client’s diverse needs. Your expertise will guide data integration strategies, ensuring that our data systems are efficient, scalable, and secure.

Join our innovative team at inetum2 as a Senior Data Engineer, where you will play a pivotal role in designing and implementing data solutions that drive business insights and enhance decision-making processes. You will leverage your expertise in data architecture, ETL processes, and database management to build robust data pipelines and ensure data integrity across various platforms.

Join Fusion Consulting as a Data Modeler, where you'll play a pivotal role in shaping our data strategies. You will work closely with cross-functional teams to design and implement robust data models that enhance our data excellence initiatives.Your expertise in data architecture and modeling will be crucial in translating business requirements into effective data solutions. We are looking for a passionate individual who thrives in a collaborative environment and is eager to contribute to our mission of delivering outstanding data strategies.

Join Altersolutions as a Mid-Level Data Engineer, where you will play a pivotal role in shaping our data architecture and analytics strategy. We are looking for a talented individual who is passionate about data and has a drive to innovate. You will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and collaborating with cross-functional teams to leverage data for business insights.

Join our innovative team at Fusion Consulting as a Senior Data Modeler specializing in Snowflake. We are committed to driving data excellence and strategic insights, making this role pivotal in our journey towards data-driven success.As a Senior Data Modeler, you will be responsible for designing, developing, and maintaining data models that optimize our data architecture. You will collaborate with cross-functional teams to ensure the integrity and accessibility of data across our organization.

lastminute.com is looking for a Data Engineer in Lisbon to help strengthen its data infrastructure and analytics. This role focuses on designing, building, and maintaining data pipelines that support business intelligence and decision-making. What you will do Design and implement data pipelines for reliable data flow Maintain and improve systems that deliver accurate, timely data Collaborate with data scientists and analysts to ensure data is accessible and trustworthy Collaboration Work closely with colleagues across data science and analytics teams. Your efforts will help generate insights that inform company strategy. Location This position is based in Lisbon.

DataCamp helps people and organizations build essential data and AI skills. Over 17 million learners and more than 6,000 companies, including most of the Fortune 1000, use DataCamp’s platform to close the data and AI skills gap. Role overview The Senior Data Engineer will join the Data Platform Engineering team, part of the Platform Engineering department. This team builds and maintains the data platform that underpins all of DataCamp’s operations, rather than focusing on analytics for a single business unit. The work is central to the company’s ability to make informed, data-driven decisions. What you will do Develop and maintain DataCamp’s Datalakehouse on Google Cloud’s BigQuery. Support reporting and analytics through Looker BI tools, which guide company OKRs and strategic decisions. Maintain a fully automated data pipeline using Terraform and Ansible for provisioning data engineering tools. Manage data ingestion with Airbyte and schedule data transformation tasks with Airflow. Build and update data marts with DBT for finance, engineering KPIs, engineering costs, and infrastructure costs. Ensure daily data refreshes run smoothly for leadership, data scientists, analysts, and engineers. Advise on best practices for data ingestion, data mart design, and product design. Contribute to enabling AI agents and Model Control Points (MCPs) as DataCamp adopts an agent-first engineering approach. The data platform will support both human users and AI functionalities. Requirements At least 3 years of experience as a data engineer. Experience with cloud-based data platforms, ideally Google Cloud’s BigQuery. Familiarity with data pipeline automation using tools like Terraform and Ansible. Hands-on experience with Airbyte for data ingestion and Airflow for orchestration. Experience building data marts with DBT. Strong understanding of BI tools, especially Looker. Ability to support both human and AI-driven data use cases. This position is based in Portugal.

Data Research InternAre you knowledgeable about data related to Portugal? Do you understand the intricacies of the real estate and cadastral data systems? If you have a background in the telecommunications sector or have collaborated with municipalities to gather essential information, we want to hear from you!Join our dynamic team at Unison Infra as a Data Research Intern! We are seeking individuals who are enthusiastic about data and possess strong problem-solving skills.This internship offers the possibility of an extension. Your key responsibilities will include:Providing expertise on ownership processes and relevant regulations.Delivering insightful analysis on real estate, cadastral, and sector-specific data.Collaborating with our team to gather and compile vital information and contacts.Effectively scaling data to enhance decision-making and strategic planning.Knowledge of Geographic Information Systems (GIS) will be considered a significant advantage.We are currently interviewing a diverse pool of candidates to find the perfect match. If you believe you have the right skills, or know someone who does, we encourage you to apply!Let’s tackle data challenges together—apply now or refer someone who might be a great fit!

Join inetum2 as a Data Center Infrastructure Supervisor in Lisbon! In this critical role, you will oversee the operation and maintenance of our data center facilities, ensuring optimal performance and reliability.You will lead a skilled team, implement best practices, and collaborate with cross-functional teams to drive innovation and efficiency in our infrastructure management.

About Riskified Riskified helps businesses grow their ecommerce operations by reducing risk. Our platform supports major global brands and public companies, protecting them from chargebacks and fraud while building customer loyalty. Clients include Acer, Gucci, Lorna Jane, GoPro, and many others. Our team brings together ecommerce risk analysts, data scientists, and researchers who use an AI-driven platform to evaluate transactions in real time, drawing on advanced identity verification to deliver actionable decisions. We value collaboration and innovation. People at Riskified work together to create products that make a real difference, and every team member has the chance to contribute to our broader mission. Role Overview Note: This position will be recruited, hired, and employed by a third-party agency. The Data Science department plays a central role at Riskified, building algorithms and scalable analytical solutions. The team applies advanced techniques such as classification models, natural language processing (NLP), anomaly detection, graph theory, and deep learning to extract value from data. As the Data Science Team Lead in Lisbon, you will guide a team of data scientists and remain hands-on with complex technical projects. The role covers recruiting, mentoring, and supporting team members, while ensuring the delivery of effective machine learning solutions for fraud detection and risk assessment. What You Will Do Technical Leadership Set technical direction for complex data science projects that use large-scale tabular data. Lead key projects and contribute production-quality code. Define and maintain best practices for model development, evaluation, and deployment. Conduct code reviews to ensure quality, maintainability, and adherence to standards. Help team members navigate challenging technical problems. Team Leadership and Management Recruit, onboard, mentor, and manage data scientists. Foster a collaborative environment that encourages experimentation and knowledge sharing.

About Indicium AI Indicium AI is a trusted partner for some of the foremost enterprises globally, specializing in the seamless integration of AI into production at scale. As a leading AI-native consultancy, we have demonstrated our expertise across various sectors, including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our commitment spans from strategic planning to implementation, driving tangible business outcomes through AI with unparalleled clarity, speed, and capability. With a team of over 600 AI experts serving 50+ enterprise clients across five global locations, we collaborate closely with top partners—such as Anthropic, Databricks, AWS, OpenAI, and Microsoft—to deliver cutting-edge AI solutions swiftly and effectively. Opportunity At Indicium AI, we understand the vastness of the data landscape. Therefore, we are eager to connect with individuals possessing extensive data backgrounds and cloud expertise who excel in producing high-quality software. As a consulting firm driven by outcomes, we are in search of individuals who thrive on adopting a consultative approach to problem-solving, addressing issues in a comprehensive, end-to-end manner. Our diverse and talented team comes from a range of backgrounds, and we value the opportunity for mutual learning. Responsibilities Lead the technical implementation and delivery of modern data systems and AI-enabled applications. Address end-to-end data challenges and opportunities on a large scale. Contribute to the architecture and design of solutions. Work closely with clients to realize their data strategies and drive success. Collaborate with cross-functional teams throughout the discovery and delivery phases, focusing on advisory, design, and implementation of comprehensive solutions. Participate in internal initiatives including blogs and technical forums.

About Indicium AI Indicium AI is a globally recognized consultancy specializing in artificial intelligence. We empower the world’s foremost enterprises to seamlessly integrate AI into their operations at scale. With a proven track record across diverse sectors including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing, we provide unparalleled clarity, speed, and capability in unlocking AI-driven value. Supported by a team of over 600 AI specialists across five international offices, we collaborate with premier partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to deliver impactful AI solutions swiftly and efficiently. About the Role We are seeking a Senior Data Engineer who will act as the technical lead during client projects, overseeing architectural decisions, managing the delivery of intricate data platforms, and establishing engineering standards throughout engagements. This position demands a blend of advanced engineering expertise and exceptional communication abilities to influence stakeholders, mentor team members, and uphold the highest standards of data platform delivery. Key Responsibilities Architecture & Technical Leadership Champion the comprehensive design and implementation of scalable, production-ready data architectures, including Data Warehouses, Data Lakes, and Lakehouses. Set forth data engineering standards, patterns, and guidelines for the team and client projects. Exercise complete technical independence—propose, challenge, and refine architectural solutions both with clients and internally. Advanced Pipeline Engineering Design, construct, and sustain mission-critical ELT pipelines. Enhance complex data workflows for optimal performance, cost-effectiveness, and long-term sustainability. Infrastructure & Platform Engineering Manage data infrastructure provisioning and lifecycle oversight using Infrastructure as Code (Terraform), ensuring scalability, security, and reliability at an enterprise level. Spearhead cloud architecture strategies across AWS and/or Azure, aligning platform decisions with client objectives and commercial considerations. Governance, Security & Reliability Develop and enforce data governance frameworks, including access policies, data quality standards, lineage, and observability, particularly in complex, regulated environments.

Join GoCardless as a Senior Data Scientist and play a pivotal role in transforming payment intelligence. In this position, you will work at the intersection of data and technology, collaborating with Software Engineers, Product Managers, and Designers to innovate and optimize our payment solutions. You will be responsible for the complete lifecycle of our algorithms, from conception to production-ready deployment, utilizing advanced AI techniques to enhance payment success rates and mitigate fraud. Our tech stack, primarily based on Google Cloud Platform and Vertex AI, allows you to leverage Python, SQL, and BigQuery to deploy robust models at scale.

Join GoCardless as a Product Analyst and play a vital role in enhancing our product offerings. In this dynamic position, you will analyze user data, collaborate with cross-functional teams, and contribute to data-driven decision-making that will shape the future of our financial technology solutions.

Join Our JourneyAt Mollie, we believe that businesses deserve seamless finance solutions. Since our inception in 2004, we have been dedicated to simplifying payments and financial management for companies across Europe.With over 250,000 businesses relying on our comprehensive platform, we empower them to manage their finances and achieve growth on their own terms. Our services are designed to be simple, scalable, and tailored to the needs of real businesses.As one of Europe’s rapidly expanding fintech firms, our team of over 900 Mollies operates from 12+ locations. Our success is driven by the talented individuals who make up our team. We thrive on speed, purpose, and a deep commitment to our customers. Whether you’re tackling challenges, creating innovative products, or leveraging AI for smarter workflows, you will enjoy the freedom to innovate and the trust to deliver impactful results.If you’re eager to advance your career, shape the future of fintech, and be part of a dynamic, high-achieving team, we want to hear from you.Your ContributionData is integral to Mollie, informing decisions for over 250 internal users, from Product Managers to Analysts. As a Data Engineer, you will join a pivotal team that manages the infrastructure that supports this data-driven environment. We are currently in the process of enhancing our system, transitioning from managed services to a robust, self-hosted stack that offers greater control and scalability. Our foundation is strong, and we continuously introduce new functionalities to enhance our platform.In this role, you will not only maintain data pipelines but also engineer the platform. Your responsibilities will include migrating our orchestration layer to Kubernetes, implementing stringent data contracts, and developing self-service tools that enable the rest of the organization to operate more efficiently. This hands-on engineering position ensures that your work directly contributes to the reliability and quality of data at Mollie.Your DeliverablesOversee the migration of our governance tools to DataHub on GKE (Kubernetes), enhancing our governance capabilities.Develop and refine self-service tools and CI/CD pipelines, enabling analysts and engineers to independently deploy data models.Improve data observability and quality by implementing data contracts and monitoring tools to identify issues before they affect stakeholders.Create tools and capabilities for efficient data collection, processing, and utilization within the company.Optimize our GCP infrastructure (BigQuery, Pub/Sub, GCS, GKE) for cost efficiency and performance.

About the Role inetum2 is looking for a Data Engineer in Lisbon to help build and refine our data architecture. This role focuses on designing, implementing, and maintaining scalable data pipelines and databases that serve both analytical and operational needs. What You Will Do Design and develop data pipelines to handle large volumes of data Implement and maintain databases for various use cases Support data integrity and reliability across systems Work with teams to optimize data processes and architecture Location This position is based in Lisbon.

About Indicium AI Indicium AI stands at the forefront of AI innovation, partnering with the world’s leading enterprises to implement AI solutions at scale. As a global consultancy specializing in AI, we possess extensive expertise across diverse sectors including Financial Services, Energy and Utilities, Healthcare and Life Sciences, Retail and Consumer Packaged Goods, and Manufacturing. Our approach spans from strategic planning to execution, ensuring that we unlock substantial value from AI with unparalleled speed, clarity, and effectiveness. With a team of over 600 AI professionals supporting more than 50 enterprise clients across five global locations, we collaborate closely with top-tier partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to deliver cutting-edge AI solutions that yield measurable results. Opportunity We understand that the field of data is vast, and we invite candidates with diverse data backgrounds and cloud expertise, particularly those skilled in building high-quality software systems. As an outcome-focused consultancy, we seek individuals who thrive in a consultative environment, addressing challenges in a comprehensive, end-to-end manner. Our talented and diverse team hails from various backgrounds and experiences, providing a rich learning environment for all. Responsibilities Lead the technical implementation and delivery of advanced data systems and AI-enabled applications. Identify and solve complex data challenges and opportunities at scale. Contribute to the architecture and design of intricate systems. Collaborate with clients to successfully realize their data strategies. Engage with your cross-functional team during the implementation of comprehensive solutions. Participate in internal initiatives such as blogs, technical forums, and technology practices. Drive your personal development by utilizing tools and support from Indicium AI to acquire new skills.