Senior Data Engineer at DataCamp | Portugal

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. T…

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!

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 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 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 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.

About Indicium AI Indicium AI is a premier AI-native consultancy, recognized by leading enterprises globally for our ability to scale AI solutions in production. We specialize in various sectors such as Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our focus extends from strategy formulation to execution, enabling organizations to unlock substantial value from AI with unparalleled speed and clarity.With a team of over 600 AI specialists serving more than 50 enterprise clients across 5 global locations, we collaborate closely with top-tier partners, including Anthropic, Databricks, AWS, OpenAI, and Microsoft, to deliver cutting-edge AI solutions that make a measurable impact. About the Role As an Associate Data Engineer at Indicium AI, you will be an integral part of a dynamic team of data professionals dedicated to building scalable and dependable data solutions for prominent organizations across Europe. In this client-facing role, you will assist in the design and development of data pipelines, support data integration endeavors, and enhance your skills under the mentorship of seasoned engineers. This position presents a unique opportunity to develop solid data engineering fundamentals while making a significant impact on our clients' data platforms from day one. Key Responsibilities Data Ingestion & Integration Contribute to data ingestion workflows, extracting data from relational and NoSQL databases, REST APIs, and flat files while ensuring high standards of data quality and consistency. Pipeline Development Assist in the design and development of ELT pipelines, adhering to team standards and best practices in data engineering. Support the monitoring of pipeline executions across cloud and on-premises environments, promptly escalating issues as necessary. Storage & Warehousing Help implement and maintain data storage solutions such as Data Warehouses and Data Lakes. Write and optimize SQL queries to facilitate downstream analytics and reporting requirements. Collaboration & Documentation Engage closely with cross-functional teams, including analysts, engineers, and client stakeholders, to gather requirements and deliver tailored solutions. Ensure comprehensive documentation of pipelines, data models, and processes, fostering a culture of engineering excellence. Learning & Growth Participate in continuous learning opportunities to enhance your skills and advance your career within the data engineering domain.

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.

Join our dynamic team at inetum2 as a Data Analyst. In this role, you will leverage your analytical skills to interpret complex datasets, providing actionable insights that drive strategic decisions. You will collaborate with cross-functional teams to enhance data-driven strategies and improve our operational efficiency.As a Data Analyst, your key responsibilities will include data collection, processing, and analysis, as well as the creation of reports and dashboards to present findings to stakeholders. You will play a critical role in identifying trends and patterns within data that can help optimize business processes.

BPCE-SI, part of Natixis in Portugal, seeks a Lead Data Engineer based in Lisbon. This position plays a central role in shaping data architecture and driving major data initiatives throughout the organization. Key responsibilities Guide and mentor a team of data engineers as they tackle complex projects. Oversee the design and rollout of data solutions that align with business objectives. Contribute to the evolution of data strategy and architecture across the company. Encourage data-driven decision-making and work to enhance operational processes. About BPCE-SI BPCE-SI serves as the IT services arm for Groupe BPCE and operates under Natixis in Portugal. The team is dedicated to building dependable data systems that support the group’s business needs.

Are you prepared to be at the leading edge of technology as a Data Engineer with Netcompany? Join us to revolutionize the data landscape!As a Data Engineer, your responsibilities will include:Architecting and executing robust data pipelines using tools such as dbt, Trino, and Spark.Conducting dimensional modeling and data transformation to enhance data usability.Creating insightful dashboards and reports, with Power BI experience considered a plus.Writing efficient SQL queries and Python scripts to facilitate data processing.Containerizing data workflows and enabling hybrid deployments for optimal flexibility.Upholding data integrity and compliance standards.Working collaboratively with developers to test and validate seamless data integrations.

We are seeking an innovative and detail-oriented Data Engineer to join our team at inetum2. In this role, you will play a pivotal part in transforming data into actionable insights, enabling our clients to make informed decisions. You will work with advanced data technologies and collaborate with cross-functional teams to ensure data integrity and availability.

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.

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 pipelines and architectures on Google Cloud Platform (GCP).Innovate: Lead the adoption of cutting-edge technologies, utilizing AI to streamline data processes and uncover valuable insights.Collaborate: Work closely with internal teams and stakeholders to identify data needs and convert them into effective technical solutions.Prioritize: Balance competing demands and strategically prioritize projects to maximize business impact.Ensure Quality: Conduct rigorous testing and maintenance to ensure the reliability and scalability of our data systems.

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.

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.

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!