Senior Application Production Engineer (BI/Data) at inetum2 | Lisbon

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 …

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 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.

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.

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 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!

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 the dynamic Business Intelligence team at SIXT, where we design and maintain the cutting-edge SIXT Data Platform and its Data Catalogue, catering to thousands of users around the globe. Our flagship offering, the SIXT Data Shop, processes tens of millions of events daily, transforming them to address various consumer needs and delivering insights through a robust toolbox—from self-service batch processes to real-time ML model endpoints.Our current priorities include enhancing operational automation, broadening self-service data ingestion capabilities, optimizing ETL workflows, and enabling innovative applications for our clients. Our dedicated team of 20 Data Engineers and Business Intelligence Engineers embraces collaboration and is constantly on the lookout for the latest technological advancements. At SIXT, we celebrate success, agility, ownership, and cross-cultural collaboration. Join us and become a valued member of the SIXT family.YOUR ROLE AT SIXTBuild CRM Data Foundations: Create analytical infrastructure for our CRM initiatives and automate data pipelines to establish a premier customer intelligence environment.Drive Innovation: Investigate and apply the latest AWS and big data technologies to unveil hidden opportunities, enable new functionalities, and forge integrations for the SIXT Data Shop.Collaborate Cross-Functionally: Work alongside Data Engineers, BI Analysts, and Data Scientists to design optimal solutions for various analytical applications, including dashboarding, ad hoc analytics, data-as-a-product, and machine learning.Shape Platform Strategy: Contribute your expertise and innovative ideas to the vision and roadmap of the Data Platform.Ensure Data Integrity: Uphold exceptional work ethics and integrity while managing sensitive customer data, adhering to the highest standards of data protection.

QIMA seeks a Senior Manager of Data & Web Engineering based in Lisbon. This position leads a team dedicated to applying data and technology in support of marketing objectives. The role involves guiding the design and development of web applications that serve client requirements and help grow QIMA’s digital footprint. Role overview This leadership role centers on managing a team responsible for both data and web engineering. The focus is on building solutions that align with marketing strategies and deliver value to clients. Main responsibilities Oversee the design and development of web applications Direct efforts to use data and technology to advance marketing goals Ensure projects meet client needs and support QIMA’s digital presence Location This position is based in Lisbon.

What You'll Do: Join our dynamic Data Infrastructure team as a Senior Site Reliability Engineer (SRE). In this pivotal role, you'll ensure the reliability, availability, and performance of our essential data systems hosted on AWS and GCP. Your expertise in cloud infrastructure, automation, and operational excellence will play a key role in supporting our product for a diverse global clientele. As a Senior Site Reliability Engineer, your responsibilities will include: Designing, implementing, and maintaining robust and reliable data infrastructure services, encompassing SQL, NoSQL, Kafka, and Spark-based data layers. You will define and monitor Service Level Objectives (SLOs) and Service Level Agreements (SLAs). Participating in an on-call rotation to swiftly address incidents and ensure quick resolution of production issues. Conducting thorough post-incident reviews to pinpoint root causes and implement preventative measures. Managing and automating cloud infrastructure using Terraform and Helm, following GitOps principles. Implementing and sustaining comprehensive monitoring, logging, and tracing solutions to proactively identify and resolve performance and reliability issues. Monitoring and managing data infrastructure capacity, planning for future growth, and optimizing performance through tuning and automation. Developing and maintaining automation scripts and tools to streamline operational tasks, enhance efficiency, and minimize manual effort. Ensuring the security and compliance of data infrastructure services by implementing best practices for access control, data protection, and vulnerability management. Collaborating with development and data engineering teams to facilitate smooth deployments and operational support while maintaining thorough documentation of infrastructure configurations, processes, and procedures. Managing and maintaining distributed databases within a Kubernetes environment. Our Tech Stack: Cloud-Based Infrastructure: Fully cloud-based with a Kubernetes-focused tech stack. Compute workloads operate in Kubernetes clusters across multiple regions. Infrastructure Management: Extensive use of Terraform and Helm, adhering to GitOps paradigms for managing cloud infrastructure and Kubernetes applications. Core Technologies: Significant utilization of Kafka, distributed PostgreSQL and Cassandra QL, Elasticsearch, and Databricks/Spark. Development of inter-cloud failover options to support multi-cloud strategies. Diverse Applications: Teams develop and deploy containerized applications for low-latency APIs, machine learning models, and data processing pipelines.

Role overview Sixt SE seeks a Senior Data Engineer in Lisbon to focus on AI and agentic pipelines. The role involves designing, building, and maintaining data pipelines that power AI initiatives throughout the company. Collaboration with teams from different disciplines is central, with a strong focus on data quality, scalability, and dependable performance. What you will do Design and develop data pipelines for AI-driven applications Maintain and optimize current data workflows Work closely with teams across the company to uphold data quality standards Support scalable and high-performance data solutions Contribute to data-driven decision-making across the organization Location This position is based in Lisbon.

Join our dynamic team at inetum2 as a Senior Data Analyst, where you will play a crucial role in transforming data into actionable insights. Your expertise will drive decision-making processes and help shape the future strategies of our clients.

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 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.

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.

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 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.