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Join the dynamic Business Intelligence team at SIXT, where we design and maintain the cutting-edge SIXT Data Platform and its Data Catalogue, catering to thousands of users around the globe. Our flagship offering, the SIXT Data Shop, processes tens of millions of events daily, transforming them to address various consumer needs and delivering insights throug…

Join inetum2 as a Big Data Engineer and be part of a forward-thinking company that is at the forefront of technological innovation. In this role, you will work with large datasets, developing cutting-edge solutions that drive data-driven decision-making and enhance business operations.

Role Overview remotepeople is hiring an AI Engineer to help build and refine artificial intelligence solutions. This role involves designing, implementing, and improving AI models alongside a skilled team. The work directly supports real business needs and projects. What You Will Do Collaborate with colleagues to develop and optimize AI models Apply knowledge of machine learning, natural language processing, and data analytics Contribute to projects that use AI to address practical challenges Work Location Lisbon office Remote from anywhere in Europe Who We’re Looking For Experience with AI, machine learning, or related fields Interest in solving complex problems with technology Comfort working both independently and as part of a distributed team

Join Altersolutions as a Senior Data Engineer and play a pivotal role in shaping the future of data management. In this dynamic position, you will leverage your expertise to design, develop, and maintain robust data pipelines and architectures, ensuring seamless data flow and accessibility across various platforms. You will collaborate with cross-functional teams to transform data into actionable insights, driving decision-making processes and enhancing business outcomes.

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.

At Veeva Systems, we are dedicated to transforming the life sciences industry through innovative cloud solutions that accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue last year, with exciting prospects for future growth.Our core values of Doing the Right Thing, Customer Success, Employee Success, and Speed guide our operations. In 2021, we made headlines by becoming a public benefit corporation (PBC), which commits us to balancing the needs of our customers, employees, society, and investors.We embrace a Work Anywhere policy, allowing you the flexibility to work from home or in the office, fostering an environment where you can excel.Join us in revolutionizing the life sciences sector and making a positive difference for our clients, workforce, and communities.The RoleAs a Team Lead in our Data Operations division, you will oversee a remote team of over 50 freelancers engaged in rule-based web research. Your responsibilities will include designing and enhancing business processes as well as technological improvements.You will plan and monitor these processes, eliminating obstacles for your team to ensure smooth execution. Your primary objective will be to enhance process efficiency and minimize errors. In your capacity as a first-line manager and servant leader, you will be accountable for operational metrics and outcomes while keeping your team motivated and engaged.To succeed in this position, you must be highly driven with a proactive “can do” attitude. You should be results-oriented, analytical, organized, and possess strong interpersonal skills to facilitate effective communication with managers, analysts, and researchers.The ideal candidate will have a keen interest in people management, a process-driven mindset, and a strong work ethic.

Veeva Systems is a visionary leader in the industry cloud space, dedicated to accelerating the delivery of therapies from life sciences companies to patients. Having achieved remarkable growth as one of the fastest-growing SaaS companies, we exceeded $3 billion in revenue last fiscal year, with abundant opportunities for future expansion. Our core values drive us: Do the Right Thing, Customer Success, Employee Success, and Speed. As a trailblazer in our field, we proudly became a public benefit corporation (PBC) in 2021, committed to balancing the interests of our customers, employees, society, and investors. As a Work Anywhere company, we promote flexible working arrangements, allowing you to perform at your best in your preferred environment, whether at home or in the office. Join us as we transform the life sciences industry, enhancing the lives of our customers, employees, and communities.The RoleVeeva Link aims to create interconnected data applications that enhance research and improve patient outcomes. As a Senior Team Lead for one of our Data Operations teams, you will oversee a remote team of over 50 freelancers executing large-scale data generation pipelines. In this role, you will design and refine business processes while advocating for technology enhancements.Your responsibilities will include planning and managing these processes and removing obstacles for your team members. Your primary focus will be on enhancing process efficiency and minimizing defects. As a first-line manager and servant leader, you will deliver operational metrics linked to your processes and outcomes, all while maintaining high team engagement.To excel in this role, you should be highly motivated with a proactive attitude. You are results-driven, analytical, organized, and possess excellent interpersonal skills. Your communication with leadership, analysts, engineers, and researchers will be pivotal.The ideal candidate will have a passion for people management, a process-oriented mindset, and a strong work ethic. Whether you work from home or in our offices, you will thrive in an autonomous and international atmosphere. We take pride in our robust remote working culture where individuals are empowered to excel.

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.

Role Overview Lucidya is hiring a Software Engineer to join its remote team in Lisbon, Portugal. This role focuses on designing, building, and maintaining software that supports the company’s core business. What You Will Do Design and implement software solutions for new and existing products Maintain and improve code quality across projects Work closely with other engineers to solve technical challenges Contribute ideas and expertise to help shape project success Who We’re Looking For Engineers who enjoy collaborating with others People ready to tackle complex technical problems Individuals committed to delivering strong results Those interested in growing their skills while contributing to team goals This is a remote position based in Lisbon, Portugal.

Speechify is looking for a Software Engineer, Platform, to join the team in Lisbon. This position centers on building and refining the core platform that supports how users engage with Speechify’s products. The work directly shapes user experience and drives efficiency throughout the company. What you will do Develop and maintain essential platform features that enable Speechify’s products Collaborate with engineering, product, and design teams to deliver improvements Use modern technologies to create reliable, scalable solutions Share ideas and feedback to influence the platform’s direction Requirements Experience building software platforms or infrastructure Comfort working within collaborative and creative teams Interest in enhancing how people interact with technology Located in Lisbon, Portugal

Location: UK or Portugal Department: Engineering Employment Type: Permanent About YLD: At YLD, our mission is to empower our clients to continuously advance. We partner with them to cultivate the skills and capabilities necessary to outpace the competition, recognizing that our success is intrinsically linked to theirs. We are a collective of inquisitive and talented professionals dedicated to making YLD a desirable workplace for growth and retention. As a remote-first consultancy, we specialize in software engineering, product design, and data solutions. With teams spread across London, Lisbon, and Porto, we develop digital solutions that provide lasting value long after project completion. About the Role: As a Senior Data Engineer, you will collaborate with a client team to develop innovative products. We seek individuals who are curious, passionate, driven, and enthusiastic. Proficiency in problem-solving and the ability to design scalable, resilient, and fault-tolerant architectures are essential. Strong communication skills and teamwork are vital as you navigate a fast-paced engineering environment, achieving remarkable results and delivering exciting projects. About You: A Senior Data Engineer at YLD possesses advanced skills across both data engineering and analytics engineering, understanding the nuances between the two. You have experience in building data pipelines and transformation layers, have improved chaotic data projects, and possess thoughtful opinions on data team dynamics, with the flexibility to adapt these views based on context. Your passion for your craft drives you to actively learn and embrace the diverse challenges that consultancy presents: varying clients, technology stacks, and problems. Your Day-to-Day Responsibilities Will Include: Delivering data solutions on client engagements: pipelines, transformation layers, models, and supporting infrastructure. Adapting to diverse client contexts, including legacy warehouse migrations and rescuing struggling transformation layers. Defining and evolving internal standards for data work, including testing, documentation, project structure, and code reviews. Mentoring and developing data engineers within the organization. Participating in client team activities (internal presentations, learning sessions, social events) to foster strong working relationships. Contributing to proposals and aiding in shaping project approaches.

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.

Join the dynamic team at Natixis in Portugal as a Data Engineer Team Leader. This pivotal role involves leading a team of talented data engineers, driving innovative data solutions, and collaborating with various departments to enhance data strategy. The ideal candidate will have a strong background in data engineering, proven leadership skills, and the ability to communicate effectively in French.

Join Inetum, a leading innovator in digital services, where we drive growth and transformation through advanced technology solutions. We are seeking a highly skilled and motivated Senior Data Engineer to become part of our dynamic team. In this role, you will play a critical part in designing, developing, and optimizing data solutions that enhance business intelligence and analytics capabilities.If you are passionate about data, excel in collaborative settings, and relish tackling complex problems, this is your chance to make a significant impact!

Role Overview Veeva Systems Inc. is looking for a Team Lead - Data Operations to join the Lisbon, Portugal office. This role guides a team focused on improving data processes that support Veeva’s solutions. The Team Lead manages daily data operations, maintains high standards of accuracy, and encourages teamwork across the group.

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.

inetum2 is seeking a passionate and experienced Agile Coach to support our teams in adopting agile methodologies and improving their practices. In this role, you will provide coaching, guidance, and training to our project teams to enhance their performance and deliver high-quality results. You will play a crucial role in fostering a culture of collaboration, continuous improvement, and innovation across our organization.

QIMA seeks a Senior Manager of Data & Web Engineering based in Lisbon. This position leads a team dedicated to applying data and technology in support of marketing objectives. The role involves guiding the design and development of web applications that serve client requirements and help grow QIMA’s digital footprint. Role overview This leadership role centers on managing a team responsible for both data and web engineering. The focus is on building solutions that align with marketing strategies and deliver value to clients. Main responsibilities Oversee the design and development of web applications Direct efforts to use data and technology to advance marketing goals Ensure projects meet client needs and support QIMA’s digital presence Location This position is based in Lisbon.

What You'll Do: Join our dynamic Data Infrastructure team as a Senior Site Reliability Engineer (SRE). In this pivotal role, you'll ensure the reliability, availability, and performance of our essential data systems hosted on AWS and GCP. Your expertise in cloud infrastructure, automation, and operational excellence will play a key role in supporting our product for a diverse global clientele. As a Senior Site Reliability Engineer, your responsibilities will include: Designing, implementing, and maintaining robust and reliable data infrastructure services, encompassing SQL, NoSQL, Kafka, and Spark-based data layers. You will define and monitor Service Level Objectives (SLOs) and Service Level Agreements (SLAs). Participating in an on-call rotation to swiftly address incidents and ensure quick resolution of production issues. Conducting thorough post-incident reviews to pinpoint root causes and implement preventative measures. Managing and automating cloud infrastructure using Terraform and Helm, following GitOps principles. Implementing and sustaining comprehensive monitoring, logging, and tracing solutions to proactively identify and resolve performance and reliability issues. Monitoring and managing data infrastructure capacity, planning for future growth, and optimizing performance through tuning and automation. Developing and maintaining automation scripts and tools to streamline operational tasks, enhance efficiency, and minimize manual effort. Ensuring the security and compliance of data infrastructure services by implementing best practices for access control, data protection, and vulnerability management. Collaborating with development and data engineering teams to facilitate smooth deployments and operational support while maintaining thorough documentation of infrastructure configurations, processes, and procedures. Managing and maintaining distributed databases within a Kubernetes environment. Our Tech Stack: Cloud-Based Infrastructure: Fully cloud-based with a Kubernetes-focused tech stack. Compute workloads operate in Kubernetes clusters across multiple regions. Infrastructure Management: Extensive use of Terraform and Helm, adhering to GitOps paradigms for managing cloud infrastructure and Kubernetes applications. Core Technologies: Significant utilization of Kafka, distributed PostgreSQL and Cassandra QL, Elasticsearch, and Databricks/Spark. Development of inter-cloud failover options to support multi-cloud strategies. Diverse Applications: Teams develop and deploy containerized applications for low-latency APIs, machine learning models, and data processing pipelines.