Senior Manager of Data & Web Engineering

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 cente…

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.

Join our dynamic team as a Senior Web Analyst at Inetum, where your strategic mindset and technical expertise will drive the evolution of our digital analytics landscape. In this pivotal role, you will be responsible for overseeing our comprehensive digital measurement framework, with a primary focus on leveraging the Google Marketing Platform and its associated technologies.The perfect candidate will possess a harmonious blend of marketing acumen and technical capabilities, ensuring that our data collection practices comply with GDPR standards. You will champion best practices and translate business objectives into actionable insights, bridging the gap between our business, product, and engineering teams to facilitate data-driven decision-making throughout the organization.Key Responsibilities:Implement and maintain tracking codes, tags, and events using Google Tag Manager.Configure and enhance Google Analytics 4 properties for web and mobile applications.Evaluate and mitigate the impact of tags on the website performance and loading speed.Collaborate with marketing, product, and development teams to gather and define tracking requirements.Engage with stakeholders to comprehend business goals and measurement needs.Design dashboards and tailored reports in GA4 and Looker Studio.Conduct analytics audits to ensure the accuracy of data collection and reporting.Articulate insights and recommendations in a clear, business-friendly manner.Establish tagging strategies and measurement frameworks for precise tracking.Identify opportunities to enhance processes, methodologies, and analytical approaches.Oversee the governance of Google tools, including GA4, GTM, Google Ads, Search Console, Firebase, BigQuery, and others.

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.

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.

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 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 Dashlane as a Staff Platform Engineer - Web and play a vital role in shaping our web platform. We are looking for a talented engineer who is passionate about building scalable and high-performance web applications while leveraging modern technologies. You will collaborate with cross-functional teams to design, develop, and maintain our platform, ensuring a seamless user experience.

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.

Join our dynamic team at Sixt as a Senior Data Governance Engineer, where you will play a pivotal role in shaping our data governance strategy. You will be responsible for establishing data management policies, ensuring compliance, and enhancing data quality across various business units. This is an exciting opportunity to contribute to our innovative projects while collaborating with cross-functional teams.

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.

Role Overview Inetum2 is hiring a Senior Application Production Engineer focused on Business Intelligence and Data Management in Lisbon. This position plays a key part in keeping our applications running smoothly and reliably. What You Will Do Monitor and maintain the performance of BI and data applications. Work closely with teams across the company to support and improve data-driven processes. Troubleshoot issues to minimize downtime and ensure service quality. Contribute to ongoing improvements that strengthen our decision-making with better data.

About DashlaneDashlane is committed to providing unparalleled credential security essential for the success of businesses and their employees. Millions of users and over 25,000 brands globally, including Michelin, Air France, and Forrester, trust Dashlane for its innovative solutions, patented zero-knowledge security, and exceptional user experience. Founded in Paris, we have expanded to New York and Lisbon, now employing over 300 passionate Dashlaners worldwide.We are searching for individuals who leverage AI tools to enhance efficiency, creativity, and impact in their roles. At Dashlane, innovation drives us, and we value continuous learning while striving for excellence as a unified team. Discover more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner. About the RoleWe are looking for a Staff Engineer to enhance the reliability, performance, and quality-by-design of Dashlane’s Web Platform. This pivotal technical leadership position will influence long-term architectural strategies while empowering teams to deliver with greater speed and confidence on a large scale.

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.

Join Veeva Systems, a pioneering force in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies globally, we achieved over $2B in revenue last fiscal year, with remarkable growth prospects ahead.Our core values at Veeva, which include Do the Right Thing, Customer Success, Employee Success, and Speed, guide our mission. Notably, we made history in 2021 by becoming a public benefit corporation, 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 in the office, allowing you to thrive in your preferred environment.Be part of our mission to transform the life sciences industry and create a positive impact on our customers, employees, and communities.The RoleAs the Engineering Manager for the HCO (Healthcare Organization) team, you will have the unique opportunity to architect the data engine that powers Veeva Link. This role is not just about managing a team; it involves solving intricate data challenges.You will navigate through extensive data interdependencies across multiple products, tasked with defining and developing resilient data pipelines that accommodate this complexity while ensuring local autonomy and global coherence. Leading a high-performing team, you will create a scalable, modern platform utilizing Apache Spark, Lakehouses, and AWS Redshift.If you are passionate about integrating technical architecture with people development, this is the perfect opportunity for you.

Join our dynamic team at inetum2 as a Senior Data Analyst, where you will play a crucial role in transforming data into actionable insights. Your expertise will drive decision-making processes and help shape the future strategies of our clients.

About Us:At Web Summit, we have earned the title of the best tech conference on the planet, as described by Forbes, through our commitment to creating meaningful connections. Our tech events are essential because we facilitate networking opportunities for the right individuals to connect and collaborate. Every team member at Web Summit is dedicated to this mission.We're just beginning our journey. We aim to expand our presence globally, promoting connectivity, addressing significant issues, and fostering relationships among global leaders, all while positively impacting the environment and the communities we engage with.To foster a better company, we prioritize self-improvement. We do this by bringing together the most ambitious individuals who share our vision.About the Team:The Web Summit Live Events Team plays a pivotal role in delivering a world-class experience for attendees on a global scale. Our team comprises designers, event coordinators, producers, stage managers, and various other professionals who collaborate closely to manage everything from stages and exhibitions to live operations and attendee experiences at our events worldwide.

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, driving insights and efficiencies across the organization.