Senior Financial Data Processing Specialist

About the Role Natixis in Portugal is hiring a Senior Financial Data Processing Specialist in Lisbon. This position focuses on processing and analyzing financial data to support strategic decision-making across the organization. What You Will Do Process large volumes of financial data with accuracy and attention to detail Analyze data to extract insights tha…

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 Bosch Group is hiring an HR Business Partner & Governance Specialist in Lisbon. This role connects HR strategies with business goals, supporting organizational effectiveness and a strong compliance culture.

Join our innovative team at inetum2 as a Functional Data Architect. In this critical role, you will be responsible for designing and implementing robust data architectures that meet our client’s diverse needs. Your expertise will guide data integration strategies, ensuring that our data systems are efficient, scalable, and secure.

Join our innovative team at inetum2 as a Senior Data Engineer, where you will play a pivotal role in designing and implementing data solutions that drive business insights and enhance decision-making processes. You will leverage your expertise in data architecture, ETL processes, and database management to build robust data pipelines and ensure data integrity across various platforms.

At Veeva Systems, we are driven by our mission to revolutionize the life sciences industry through innovative cloud solutions. Our commitment to delivering exceptional value has positioned us as one of the fastest-growing SaaS companies, with over $2 billion in revenue last fiscal year and vast potential for future growth.Grounded in our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—we are proud to be recognized as a public benefit corporation (PBC), dedicated to balancing the interests of our customers, employees, society, and investors.As a fully remote company, we empower our employees to work in their preferred environments, whether from home or in the office, promoting a culture of flexibility and productivity.Join us in our mission to transform the life sciences sector, making a meaningful impact on our customers, employees, and communities.Position OverviewThe Analytics Engineer role is pivotal within Veeva OpenData Commercial, as we provide essential reference data across the healthcare ecosystem to enhance commercial sales execution, compliance, and analytical capabilities.In this role, you will develop maintenance jobs to transform, clean, and validate data from diverse sources, leveraging Python for data processing. Your contributions will significantly influence customer satisfaction by ensuring the accuracy, availability, and quality of data.Additionally, you will engage in classic analytical tasks, including generating ad-hoc reports and visual reporting, further enhancing our data-driven decision-making capabilities.

Join Fusion Consulting as a Data Modeler, where you'll play a pivotal role in shaping our data strategies. You will work closely with cross-functional teams to design and implement robust data models that enhance our data excellence initiatives.Your expertise in data architecture and modeling will be crucial in translating business requirements into effective data solutions. We are looking for a passionate individual who thrives in a collaborative environment and is eager to contribute to our mission of delivering outstanding data strategies.

Join Altersolutions as a Mid-Level Data Engineer, where you will play a pivotal role in shaping our data architecture and analytics strategy. We are looking for a talented individual who is passionate about data and has a drive to innovate. You will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and collaborating with cross-functional teams to leverage data for business insights.

DataCamp helps people and organizations build essential data and AI skills. Over 17 million learners and more than 6,000 companies, including most of the Fortune 1000, use DataCamp’s platform to close the data and AI skills gap. Role overview The Senior Data Engineer will join the Data Platform Engineering team, part of the Platform Engineering department. This team builds and maintains the data platform that underpins all of DataCamp’s operations, rather than focusing on analytics for a single business unit. The work is central to the company’s ability to make informed, data-driven decisions. What you will do Develop and maintain DataCamp’s Datalakehouse on Google Cloud’s BigQuery. Support reporting and analytics through Looker BI tools, which guide company OKRs and strategic decisions. Maintain a fully automated data pipeline using Terraform and Ansible for provisioning data engineering tools. Manage data ingestion with Airbyte and schedule data transformation tasks with Airflow. Build and update data marts with DBT for finance, engineering KPIs, engineering costs, and infrastructure costs. Ensure daily data refreshes run smoothly for leadership, data scientists, analysts, and engineers. Advise on best practices for data ingestion, data mart design, and product design. Contribute to enabling AI agents and Model Control Points (MCPs) as DataCamp adopts an agent-first engineering approach. The data platform will support both human users and AI functionalities. Requirements At least 3 years of experience as a data engineer. Experience with cloud-based data platforms, ideally Google Cloud’s BigQuery. Familiarity with data pipeline automation using tools like Terraform and Ansible. Hands-on experience with Airbyte for data ingestion and Airflow for orchestration. Experience building data marts with DBT. Strong understanding of BI tools, especially Looker. Ability to support both human and AI-driven data use cases. This position is based in Portugal.

Join our innovative team at Fusion Consulting as a Senior Data Modeler specializing in Snowflake. We are committed to driving data excellence and strategic insights, making this role pivotal in our journey towards data-driven success.As a Senior Data Modeler, you will be responsible for designing, developing, and maintaining data models that optimize our data architecture. You will collaborate with cross-functional teams to ensure the integrity and accessibility of data across our organization.

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.

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 NielsenIQ as a Price & Promotions Analytics Consultant, where you will leverage your analytical skills to drive insights and support strategic decision-making for our clients. In this dynamic role, you will analyze pricing strategies and promotional effectiveness, providing actionable recommendations that enhance business performance.

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.

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.

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.