Data Engineer at lastminute.com | Lisbon

Join our dynamic team at lastminute.com as a Data Engineer, where you will play a pivotal role in enhancing the travel experience for millions of holidaymakers. If you thrive on leveraging data to drive business performance and enjoy tackling complex projects, we want to hear from you! Key Responsibilities:Architect & Build: Create and maintain scalable data…

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!

Join Our Innovative Team at Air AppsAt Air Apps, we are driven by the ambition to think beyond limits and accelerate progress. Founded in Lisbon, our company is on a transformative mission to develop the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP). With your talent and zeal, we can reshape how individuals plan, work, and live. Since our inception in 2018, we have grown organically, achieving over 100 million downloads globally.Our commitment to long-term innovation motivates us to challenge conventional practices daily, paving the way for AI solutions that genuinely enhance lives. Here, you'll have the opportunity to be a creative catalyst, crafting products that empower users worldwide.Embark on this exciting journey with us to revolutionize resource management and impact lives positively.Your Role as a Data EngineerAs a Data Engineer at Air Apps, you will play a crucial role in analyzing and interpreting data to generate valuable business insights and enhance product performance. You will be creating comprehensive reports, interactive dashboards, and key performance metrics that enable teams to make informed decisions and enrich user experiences.This position requires a strong analytical mindset, data-driven expertise, and proficiency with visualization tools to convert complex datasets into actionable insights.

Join GoCardless as a Data Science Manager and lead a dynamic team at the forefront of payment intelligence. In this role, you will leverage bank account data to deliver innovative and intelligent payment solutions, driving success in payment processing and fraud prevention. Collaborate with Software Engineers, Product Managers, and Designers to transform ambitious ideas into practical algorithms that enhance our global payment network. You will oversee the entire lifecycle of these algorithms, from conceptualization to production deployment, ensuring they are optimized for performance within our advanced Google Cloud Platform and Vertex AI environment. If you are passionate about data science and leadership, this is the opportunity for you to make a significant impact.

Join Veeva Systems, a trailblazer in the industry cloud space, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—define our approach. We made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors.As a Work Anywhere company, we empower you with the flexibility to work from home or the office to thrive in your ideal environment.Become a part of our mission to transform the life sciences industry and make a meaningful impact for our customers, employees, and communities.The RoleVeeva Link plays a crucial role in the life sciences sector by connecting professionals with key individuals, thereby enhancing research and care. This platform significantly reduces the time-to-market for vital drugs, facilitates clinical trials with the most relevant experts, and disseminates information about new treatments within the life sciences community. Discover more about Veeva Link on our product pages at https://www.veeva.com/products/veeva-link/. As a Data Engineer, you will be instrumental in managing our data pipelines and will hold a significant responsibility in the Link data processing platform. We encourage end-to-end ownership, allowing you to identify, design, and implement enhancements to product data pipelines while adapting to the evolving market demands. You will be accountable for feature innovation employing SOLID and clean software principles, participating in architectural advancements, and ensuring the quality of outcomes. Monitoring and observability will be integral to your feature design process.

About Indicium AI Indicium AI stands at the forefront of AI-driven solutions, empowering top global enterprises to harness artificial intelligence efficiently and at scale. As a prominent AI-native consultancy, we specialize in delivering transformative AI strategies across various sectors, including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our expertise ranges from strategic planning to implementation, ensuring we unlock substantial value from AI with unparalleled clarity and speed. With a dedicated team of over 600 AI specialists serving more than 50 enterprise clients from five global offices, we collaborate closely with industry leaders such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to drive modern AI solutions with tangible impact. ABOUT THE ROLE As a Data Engineer at Indicium AI, you will play a pivotal role in managing essential workstreams during client engagements. You will design and implement robust data solutions in production settings, navigate complex data pipelines with minimal supervision, and contribute to the automation of our infrastructure. Additionally, you will provide technical mentorship to junior team members, directly influencing the data platforms of organizations spanning financial services, retail, energy, and more. KEY RESPONSIBILITIES Pipeline Design & Development Design, develop, and maintain high-performance ELT pipelines, applying best practices in data engineering. Build and oversee data loading processes for both relational and non-relational distributed storage systems. Aggregate and transform large datasets utilizing distributed processing technologies such as Spark, Kafka, Presto, or similar. Infrastructure & Automation Provision and sustain data infrastructure using Infrastructure as Code (IaC) tools, primarily Terraform. Automate the lifecycle management of infrastructure to ensure consistent adherence to scalability, reliability, and security standards. Reliability & Governance Manage SLA monitoring for data pipelines, proactively identifying and resolving issues in both cloud and on-premises environments. Implement data access policies and quality standards in accordance with client governance requirements. Collaboration & Influence Collaborate with analysts, architects, and client stakeholders to effectively translate business needs into sound technical solutions. Contribute to technical decision-making processes and promote best practices within the team.

Join our Unbabel division as a Data Engineering Intern and dive into the exciting world of data engineering. In this role, you will assist in designing, developing, and managing the data infrastructure and pipelines that empower Unbabel’s core products and analytics. This is a rare chance to gain hands-on experience in how large-scale language and translation data is processed, stored, and analyzed within a live, production environment.Key Responsibilities:Collaborate with data engineers and cross-functional teams to interpret business requirements and deliver effective data solutions.Assist in the development, testing, and maintenance of data pipelines (ETL) and data integrations.Optimize the efficiency and reliability of our data workflows.Contribute to the documentation of data architecture, pipelines, and processes.Gain experience working with both structured and unstructured data from diverse sources.Support data quality initiatives by monitoring, testing, and validating data.Engage in daily team standups, sprint planning sessions, and code reviews.Enhance your skills in modern data tools, programming, and cloud technologies.

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 through a robust toolbox—from self-service batch processes to real-time ML model endpoints.Our current priorities include enhancing operational automation, broadening self-service data ingestion capabilities, optimizing ETL workflows, and enabling innovative applications for our clients. Our dedicated team of 20 Data Engineers and Business Intelligence Engineers embraces collaboration and is constantly on the lookout for the latest technological advancements. At SIXT, we celebrate success, agility, ownership, and cross-cultural collaboration. Join us and become a valued member of the SIXT family.YOUR ROLE AT SIXTBuild CRM Data Foundations: Create analytical infrastructure for our CRM initiatives and automate data pipelines to establish a premier customer intelligence environment.Drive Innovation: Investigate and apply the latest AWS and big data technologies to unveil hidden opportunities, enable new functionalities, and forge integrations for the SIXT Data Shop.Collaborate Cross-Functionally: Work alongside Data Engineers, BI Analysts, and Data Scientists to design optimal solutions for various analytical applications, including dashboarding, ad hoc analytics, data-as-a-product, and machine learning.Shape Platform Strategy: Contribute your expertise and innovative ideas to the vision and roadmap of the Data Platform.Ensure Data Integrity: Uphold exceptional work ethics and integrity while managing sensitive customer data, adhering to the highest standards of data protection.

At Reltio®, we are passionate about harnessing the power of data to drive business excellence. Our AI-driven data unification and management solutions—featuring advanced entity resolution, multi-domain master data management (MDM), and innovative data products—revolutionize fragmented data from various sources into cohesive, trusted, and interoperable information. With the Reltio Data Cloud™, we ensure that vital data is available precisely when and where it's needed, empowering data and analytics leaders with unmatched agility and responsiveness. Industry-leading enterprises worldwide rely on our award-winning data unification and cloud-native MDM capabilities to enhance operational efficiency, mitigate risk, and accelerate growth.At Reltio, our core values shape our actions and decisions. We are committed to placing our “Customer First,” ensuring their success is our priority. By embracing our differences, we believe we are “Better Together” as One Reltio. We continuously strive to “Simplify and Share” knowledge, collaborating to eliminate barriers for our teammates. We take responsibility for our actions and outcomes with a focus on excellence; we “Own It.” Each day, we innovate and evolve, embracing the mindset that today is “Always Better Than Yesterday.” If these values resonate with you, we encourage you to join our team at Reltio and be part of our mission for excellence.Reltio has received numerous accolades and top rankings for our cutting-edge technology, vibrant culture, and dedicated team. Founded on a distributed workforce model, we offer flexible work arrangements that empower our employees to balance their personal and professional lives. If you're eager to work with unparalleled technology and are looking to be part of a collaborative team that is focused on enabling digital transformation through connected data, we’d love to hear from you!

We are seeking a skilled Project Manager specialized in Data Analysis to join our dynamic team at inetum2. In this role, you will lead projects that leverage data to drive decision-making and optimize business processes. You will collaborate with cross-functional teams to ensure project success and deliver high-quality results.Key Responsibilities:Oversee the planning, execution, and completion of data analysis projects.Utilize data-driven insights to inform strategic business decisions.Coordinate with stakeholders to define project goals and deliverables.Implement best practices in project management and data analysis.

Role overview Natixis in Portugal seeks a Python Data Engineer to join the BPCE SI team in Lisbon. This position focuses on managing and improving data pipelines that support business decisions. Fluency in French is essential for daily work and collaboration. What you will do Build, maintain, and optimize data pipelines using Python Support data processing needs for analytics and reporting Work closely with colleagues to strengthen data-driven decision-making What we are looking for Fluent French language skills Strong programming experience with Python This role is based in Lisbon.

We are seeking a talented and motivated Python Developer (Data Engineer) to join our dynamic team at inetum2 in beautiful Lisbon. In this role, you will leverage your expertise in Python programming and data engineering to develop and maintain robust data pipelines, ensuring seamless data integration and processing.Your primary responsibilities will include building scalable data architectures, collaborating with cross-functional teams to understand data requirements, and optimizing existing data workflows for performance and efficiency.If you are passionate about data-driven solutions and thrive in a fast-paced environment, we want to hear from you!

Join fusionconsulting as a Data Governance Specialist where you will play a pivotal role in enhancing our data analytics capabilities. You will be responsible for establishing data governance frameworks that ensure data quality, compliance, and security while leveraging state-of-the-art analytics tools.Your expertise will help us drive strategic decisions and foster a data-driven culture within the organization. Collaborate with cross-functional teams to implement best practices in data management and analytics.

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.

Position Overview We are in search of a dedicated and technically skilled Associate Security Engineer with a strong emphasis on security technologies. This role is pivotal in supporting and enhancing our enterprise security framework. The successful candidate will collaborate closely with senior engineers and security analysts to implement, maintain, and troubleshoot essential security infrastructure components, including Data Loss Prevention (DLP) solutions, email security platforms, firewalls, VPN solutions, and Cloud Access Security Broker (CASB) tools. Key Responsibilities Assist in the deployment, configuration, and ongoing maintenance of DLP solutions to prevent unauthorized data exfiltration across endpoints, email, and cloud platforms. Support email security tools (e.g., Proofpoint, Mimecast, Microsoft Defender) to safeguard against phishing, spam, and malware attacks. Monitor and manage firewall policies and rule sets across perimeter and internal firewalls (e.g., Palo Alto, Fortinet, Cisco ASA). Maintain and troubleshoot VPN infrastructure (e.g., Cisco AnyConnect, GlobalProtect, OpenVPN) to ensure secure remote access for users. Collaborate on the integration and tuning of CASB solutions (e.g., Netskope, McAfee MVISION, Palo Alto, Microsoft Defender for Cloud Apps) to enforce robust cloud security policies. Participate in incident response and troubleshooting efforts related to security infrastructure. Document configurations, procedures, and troubleshooting steps for knowledge sharing and compliance purposes. Stay abreast of emerging security threats and technologies pertinent to the role.

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.

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.

Join Turner Townsend as an Integration Manager specializing in Data Centers. In this pivotal role, you will oversee and streamline the integration processes within our data center projects, ensuring that all systems operate efficiently and effectively.Your expertise will drive the successful alignment of cross-functional teams and facilitate communication between stakeholders. You will be instrumental in defining project scopes, managing timelines, and ensuring that all deliverables meet the highest standards.

About the RoleThe Vice President of Technology Data Solutions Engineer at iCapital Network will play a pivotal role in driving the development of our software platforms. As a Full Stack Engineer, you will be responsible for end-to-end management of new features, system enhancements, and troubleshooting across various software applications. Collaborating closely with our Product Management team, you will detail functional requirements, assess ongoing work, and resolve issues identified during manual testing.ResponsibilitiesDevelop web applications using TypeScript for front-end and Python for back-end technologies.Exhibit a deep understanding of system design, architecture, and the ability to mentor junior engineers.

Role overview Sixt SE seeks a Senior Data Engineer in Lisbon to focus on AI and agentic pipelines. The role involves designing, building, and maintaining data pipelines that power AI initiatives throughout the company. Collaboration with teams from different disciplines is central, with a strong focus on data quality, scalability, and dependable performance. What you will do Design and develop data pipelines for AI-driven applications Maintain and optimize current data workflows Work closely with teams across the company to uphold data quality standards Support scalable and high-performance data solutions Contribute to data-driven decision-making across the organization Location This position is based in Lisbon.