Senior Data Engineer - Join Our Innovative Team!

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 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 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.

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.

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.

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.

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.

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.

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 innovative Unbabel division at transperfect as a Data Engineering Intern. In this exciting role, you will play a pivotal part in designing, constructing, and maintaining the data infrastructure and pipelines that empower Unbabel’s essential products and analytics. This internship offers a fantastic opportunity to gain hands-on experience in processing, storing, and analyzing large-scale language and translation data in a dynamic production environment.Key Responsibilities:Collaborate closely with data engineers and technical teams to comprehend business needs and devise effective data solutions.Assist in developing, testing, and maintaining data pipelines (ETL processes) and data integrations.Contribute to optimizing the performance and reliability of our data workflows.Help document data architecture, pipelines, and processes for clarity and efficiency.Gain experience working with both structured and unstructured data from diverse sources.Support data quality initiatives through monitoring, testing, and validation efforts.Engage in daily team standups, sprint planning, and code reviews to foster collaboration.Enhance your skills in modern data tools, programming languages, and cloud technologies.

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 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.