Lead Data Engineer | BPCE-SI

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 …

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 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.

Role Overview BPCE-SI, part of Natixis in Portugal, is hiring a GCP/Power BI Data Analyst. This position calls for strong analytical skills and fluency in French. The analyst will support data-driven decision-making and collaborate closely with team members. Key Responsibilities Work with Google Cloud Platform (GCP) and Power BI to analyze and visualize data Contribute to projects that influence business outcomes through data insights Collaborate with colleagues to deliver solutions that support organizational goals Requirements Proficiency in French Experience with GCP and Power BI Strong analytical and communication skills Ability to work effectively as part of a team Location This role is based in Portugal.

Role Overview Natixis in Portugal is looking for an SQL Developer who speaks French to join the BPCE-SI team. This role focuses on data management and analysis within a collaborative environment. Main Responsibilities Develop and optimize SQL queries for ongoing and new projects Maintain and support database systems Work with teams across functions to deliver effective data solutions Requirements Fluency in French Experience with SQL development and database maintenance Strong problem-solving skills and an interest in data-driven work This position is based in Portugal.

Role Overview Natixis in Portugal is hiring an Angular Frontend Developer to join the BPCE-SI team. This role focuses on building web applications with Angular, working closely with UX/UI designers, and delivering smooth, responsive user experiences. What You Will Do Develop web applications using Angular Collaborate with UX/UI designers to translate designs into functional interfaces Optimize applications for performance and responsiveness Requirements Professional proficiency in French Experience developing with Angular Location This position is based in Portugal.

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.

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.

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.

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.

About Riskified Riskified helps businesses grow their ecommerce operations by reducing risk. Our platform supports major global brands and public companies, protecting them from chargebacks and fraud while building customer loyalty. Clients include Acer, Gucci, Lorna Jane, GoPro, and many others. Our team brings together ecommerce risk analysts, data scientists, and researchers who use an AI-driven platform to evaluate transactions in real time, drawing on advanced identity verification to deliver actionable decisions. We value collaboration and innovation. People at Riskified work together to create products that make a real difference, and every team member has the chance to contribute to our broader mission. Role Overview Note: This position will be recruited, hired, and employed by a third-party agency. The Data Science department plays a central role at Riskified, building algorithms and scalable analytical solutions. The team applies advanced techniques such as classification models, natural language processing (NLP), anomaly detection, graph theory, and deep learning to extract value from data. As the Data Science Team Lead in Lisbon, you will guide a team of data scientists and remain hands-on with complex technical projects. The role covers recruiting, mentoring, and supporting team members, while ensuring the delivery of effective machine learning solutions for fraud detection and risk assessment. What You Will Do Technical Leadership Set technical direction for complex data science projects that use large-scale tabular data. Lead key projects and contribute production-quality code. Define and maintain best practices for model development, evaluation, and deployment. Conduct code reviews to ensure quality, maintainability, and adherence to standards. Help team members navigate challenging technical problems. Team Leadership and Management Recruit, onboard, mentor, and manage data scientists. Foster a collaborative environment that encourages experimentation and knowledge sharing.

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.

Join the Kaizen Gaming FamilyAt Kaizen Gaming, the driving force behind Betano, we stand as one of the largest GameTech companies globally, operating across 19 dynamic markets. Our mission is to harness innovative technology to deliver unparalleled experiences to millions of customers who rely on us for their entertainment.We proudly represent a diverse workforce of over 2,700 Kaizeners from more than 40 nationalities across three continents.As a member of our #oneteam, you’ll be part of a workplace recognized as one of the Best Workplaces in Europe and certified as a Great Place to Work across all our offices. Here, every day brings new opportunities and challenges. Are you ready to Press Play on your potential?About the RoleAs the Data Science Team Lead within our AI product team, you will spearhead the development and delivery of impactful AI solutions. Your role will be central to our AI initiatives, involving data analysis, the creation of machine learning models, and close collaboration with our tech team to develop successful AI products that drive business success.The ideal candidate will possess a robust understanding of machine learning algorithms, a strong track record of deploying ML/AI applications in live environments, and previous experience in managing and guiding AI teams.Key Responsibilities:Lead a team of 5 to 7 talented data scientists and machine learning engineers.Translate product specifications into machine learning challenges and identify key areas where AI can maximize business impact.Conduct data analysis to uncover significant patterns and generate actionable insights.Perform exploratory data analysis (EDA) and feature engineering to enhance the modeling process.Establish best practices in model selection, parameter tuning, and optimization.Execute comparative experiments for model training.Evaluate different solutions by analyzing ML metrics.Oversee the complete lifecycle of AI features—from data collection through model design to implementation and optimization in production.Mentor junior team members and guide the team through complex projects.

Join our dynamic team at inetum as a Data Engineer, where you will play a pivotal role in designing and implementing data solutions that drive business insights and innovation. You will collaborate with cross-functional teams to develop reliable data pipelines, ensuring that our data architecture is robust and scalable. If you are passionate about data and eager to contribute to cutting-edge projects, we want to hear from you!

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.

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.

At Veeva Systems, we are dedicated to revolutionizing the life sciences industry by providing cloud-based solutions that accelerate the delivery of therapies to patients. As one of the most rapidly expanding SaaS companies globally, we achieved over $2 billion in revenue last year and continue to explore significant growth opportunities.Our core values, which include Doing the Right Thing, Prioritizing Customer Success, Fostering Employee Success, and Emphasizing Speed, guide every aspect of our operations. In 2021, we proudly became a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we support flexible working arrangements, allowing you to thrive in the environment that suits you best, whether at home or in the office.Join our team and be part of the effort to transform the life sciences industry, making a meaningful impact on our customers, employees, and communities.Your RoleAs the Team Lead for our Data Operations division, you will oversee a remote team of over 50 freelancers engaged in rule-based web research. Your responsibilities will include designing business processes, implementing process enhancements, and driving technological advancements.You will manage these business processes and facilitate their execution by eliminating obstacles for your team members, all while focusing on improving efficiency and minimizing defects. In your role as a first-line manager and servant leader, you will deliver operational metrics and results while keeping your team motivated and engaged.To excel in this position, you should possess a strong motivation to lead, a positive attitude, and a results-driven mindset. You must be analytical, organized, and possess excellent communication skills to effectively interact with managers, analysts, and researchers.The ideal candidate will have a keen interest in people management, a process-oriented approach, and a remarkable work ethic.

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 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.