Data Engineer at Netcompany | Lisbon

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 usabi…

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.

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.

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.

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 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 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 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.

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 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.

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.

Join inetum2 as a Data Scientist and leverage your analytical skills to drive data-driven decision making. In this role, you will work with large datasets, utilize advanced analytics techniques, and collaborate with cross-functional teams to uncover insights that impact business strategy.

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.

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.

About UsAt Riskified, we empower businesses to drive e-commerce growth by mitigating risk. Our platform is trusted by some of the world's leading brands and publicly traded companies in their online operations. We provide guaranteed protection against chargebacks, combat fraud and policy abuse at scale, and enhance customer retention. Our AI-powered fraud and risk intelligence platform, developed by a dedicated team of e-commerce risk analysts, data scientists, and researchers, analyzes each interaction to deliver real-time decisions and insightful identity-based analytics. We're proud to partner with a diverse range of exceptional companies, including Acer, Gucci, Lorna Jane, and GoPro.We excel in a collaborative environment that fosters innovation and product development that matters. The opportunity to contribute meaningfully drives our passion and purpose at Riskified, making it a fulfilling place to work.About the Role*** A third party will recruit, hire, and employ this position.The Data Science department is integral to our company, adding value through the development of algorithms and production-grade analytical solutions. We utilize advanced techniques such as classification models, NLP, anomaly detection, and deep learning to maximize the value of data. As a Data Scientist, you will engage in the entire project development cycle, implementing end-to-end solutions. This role requires a strong foundation in quantitative and analytical skills, proficiency in statistical modeling and machine learning, and a technical aptitude paired with a passion for problem-solving and driving data-informed decision-making.What You'll Be DoingData Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from diverse sources to ensure data quality and integrity for analysis.Statistical Analysis and Modeling: Utilize statistical methods and mathematical models to uncover patterns, trends, and relationships in data, while developing predictive models.Machine Learning: Create and deploy machine learning algorithms, including classification, regression, clustering, and deep learning techniques, to address business challenges and enhance processes.Feature Engineering: Identify relevant features from structured and unstructured data sources, designing new features to improve model performance.

Join Our Dynamic Team at Air AppsAt Air Apps, we embrace innovation and ambition. As a family-founded enterprise, we are on a mission to revolutionize planning with the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP). Established in Lisbon, Portugal in 2018, and now expanding to San Francisco, we’ve achieved over 100 million downloads globally while remaining self-funded.Our commitment to long-term vision drives us to disrupt the conventional, pushing the limits of AI solutions that genuinely impact lives. You will play a pivotal role in crafting products that empower individuals globally.Embark on this transformative journey with us to redefine resource management and make a difference in the lives of many.Role OverviewAs a Data Analyst at Air Apps, you will harness your analytical prowess to interpret data and drive insightful business decisions. Your expertise will contribute to creating comprehensive reports, interactive dashboards, and performance metrics, enabling teams to enhance user experiences and optimize product outcomes.This position demands a data-driven mindset, exceptional analytical skills, and proficiency with visualization tools to transform intricate data into strategic insights.Key ResponsibilitiesAnalyze user behavior, product performance, and essential business metrics to uncover trends and growth opportunities.Develop and sustain interactive dashboards and reports using tools such as Tableau, Looker, Power BI, or Google Data Studio.Gather, refine, and organize large datasets to guarantee precision and usability.Establish and monitor KPIs for marketing, product, and business outcomes.Utilize SQL, Python, or R for data extraction, analysis, and manipulation.Collaborate with product managers, engineers, and marketing teams to deliver data-driven insights.Conduct A/B testing and experimental analysis to enhance product features and user engagement.Identify bottlenecks and opportunities within user journeys and customer funnels.Present findings clearly and persuasively to stakeholders and leadership teams.

Veeva Systems is an innovative, mission-driven organization that stands at the forefront of industry cloud solutions, empowering life sciences companies to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies globally, we exceeded $2 billion in revenue last fiscal year and are poised for significant future growth.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our efforts. In 2021, we made headlines by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer flexible work arrangements, whether from home or in the office, enabling you to thrive in your preferred environment.Join us in transforming the life sciences industry, as we strive to positively impact our customers, employees, and communities.The RoleVeeva Link aspires to lead the global market in deep data solutions for life sciences. We are seeking a meticulous and skilled Data Analyst to join our dynamic product team.In this pivotal role, you will contribute to the establishment and execution of a robust data governance framework, ensuring data accuracy, completeness, and integrity. Your primary responsibilities will include setting up data quality monitoring processes, diagnosing root causes of discrepancies, and collaborating with cross-functional teams to bridge data gaps.To excel in this role, proficiency in SQL and Python for data manipulation and automation is essential. You should be adept at handling large datasets, creating informative dashboards with actionable insights, and employing statistical methods to evaluate and improve data quality.The ideal candidate will have a background in developing documentation (such as process documentation and data collection guidelines) and contributing to data governance policies and best practices.

As a Lead Data Scientist at NielsenIQ, you will spearhead innovative data-driven projects that provide actionable insights to our clients. You will lead a team of talented data scientists and collaborate with cross-functional teams to design and implement advanced analytics solutions that enhance our market understanding.