AI Prompt Engineer

Are you ready to shape the future of artificial intelligence?We are in search of a highly skilled and enthusiastic AI Prompt Engineer to join our innovative team. This pivotal role demands a unique combination of technical expertise, analytical prowess, and meticulous attention to detail. The Prompt Engineer will focus on optimizing AI tools, troubleshooting…

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.

Important Notice: Fraudulent job postings can appear on various platforms. To ensure your application is considered, please apply exclusively through Sensor Tower's official website or authorized postings on sites like LinkedIn, Indeed, BuiltIn, or Hackajob. We will never request payment or financial information during the application process. All communications from Sensor Tower will come from email addresses ending with sensortower.com. Interviews will be conducted via phone or Zoom, and we will not transition conversations to any other email or text service. If you encounter any issues, feel free to reach out to us. Please include your resume with your application.To Recruitment Agencies: Sensor Tower does not accept unsolicited third-party resumes. Please refrain from sending resumes to our job aliases or to any Sensor Tower employees. We are not liable for any fees related to unsolicited applications.About the Role:Are you passionate about developing products that interact with extensive real-world data?At Sensor Tower, we handle vast amounts of data to deliver insights that thousands of clients rely on. We are seeking inquisitive and motivated early-career engineers eager to enhance their skills while collaborating on the creation of fast, reliable systems that simplify data accessibility and comprehension.You will work closely with seasoned engineers, contribute to significant features from the outset, and gain insights into the design, construction, and optimization of large-scale systems in a production environment.If you thrive on learning, solving challenges, and delivering software that users depend on, we would love to connect with you. We have a proven track record of nurturing talented juniors and this position provides a unique opportunity to work alongside senior leadership.Our Engineering PhilosophyWe adhere to the principle that 'Simplicity is crucial for reliability.' We seek engineers who share our core values:- Simplicity: We favor straightforward solutions and prefer utilizing existing tools over unnecessary complexities.- Quality: We produce code that is easy to read, understanding that code is written once but read multiple times. We prioritize quality and strive for excellence in our work.

About the Role tgs is looking for a Backend Engineer (Python or Go) to join the Unbabel division in Lisbon. This team builds and maintains backend services that support enterprise-grade translation solutions across platforms. The work centers on making language technology smarter and more seamless for clients worldwide. What You Will Do Design and implement core backend services and reliable system architectures. Build, maintain, and improve codebases with an emphasis on testability and efficiency. Develop, optimize, and support key services and infrastructure in live production environments. Enhance system architecture to improve scalability, resilience, and performance. Analyze complex technical problems and help prioritize initiatives alongside product and engineering teams. Encourage continuous improvement, automation, code quality, and strong architectural practices. Work with teams across disciplines to deliver solutions that adapt to changing business and technical needs. Troubleshoot and prototype quickly to address platform and service challenges as they arise. Location Lisbon, Lisboa, Portugal

Join ValGenesis, a pioneering provider of digital validation solutions for the life sciences sector. Our innovative suite of products empowers 30 of the top 50 global pharmaceutical and biotech enterprises to achieve seamless digital transformation, ensuring total compliance and operational excellence throughout their product lifecycle. Discover the unique culture at ValGenesis, the gold standard for paperless validation in Life Sciences: Learn MoreAs an Application Engineer - Tier 1 at ValGenesis, you will hone your technical support skills while engaging in software troubleshooting and delivering exceptional customer service. In this role, you will tackle moderately complex software challenges, mentor junior application engineers, and collaborate with internal teams for system enhancements. This position is ideal for individuals seeking to deepen their problem-solving expertise and contribute to impactful technical projects.We offer a hybrid work schedule of 4 days per week, providing flexibility while fostering in-person collaboration at our Lisbon office. We believe that face-to-face interactions stimulate creativity and strengthen our community, which is vital to our continued success.

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.

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.

At Thought Machine, we are on a transformative mission to liberate banks from the constraints of outdated technology. Our innovative core and payments technology operates natively in the cloud, laying the groundwork for modern banking solutions. Our ambitious vision demands exceptional talent collaborating to create groundbreaking technology.Having expanded rapidly in recent years, our team now comprises over 550 skilled professionals across our offices in London, New York, Singapore, Sydney, and our newly launched Engineering Hub in Lisbon. With over £500 million in funding, our esteemed investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, and Standard Chartered Ventures.We pride ourselves on nurturing a culture that fosters excellence and enjoyment, with frequent accolades for our vibrant workplace environment. Recognized by Sifted magazine for having one of the highest Glassdoor ratings among UK fintech companies, we also offer one of the industry's most generous employee share packages. Our innovative spirit has earned us a spot on Global Finance Magazine's list of the world's most innovative fintechs and recognition from the Financial Times as one of Europe's fastest-growing companies for two consecutive years.As we continue to scale, our Software Engineering team plays a crucial role in our success. We strive for engineering excellence, embracing best practices and modern technologies to drive our mission forward.As a Senior Software Engineer, you will tackle complex challenges across the technology stack, developing high-quality, scalable, secure, and performant code that enhances user experience. You will take full ownership of requirements, translating them into engineering designs, task breakdowns, and implementations, while creating both backend services and engaging frontend experiences.Our diverse clientele ranges from major global financial institutions to regional banks, requiring our systems to be adaptable and customizable for varying user needs. As a bridge between back-end and front-end development, you will craft seamless experiences that captivate our clients.

Remote People creates technology that streamlines global payroll, benefits, taxes, and compliance. The company supports organizations in hiring and managing talent across borders, making it easier for teams to operate internationally. The workplace values diversity and welcomes candidates from all backgrounds. The team aims to foster an inclusive environment where different perspectives are respected and encouraged. Role overview The Lead Engineer provides both hands-on technical leadership and guidance to the engineering team. This position shapes product architecture, defines technical standards, and encourages a culture of learning and continuous improvement within the group. This role can be based in Lisbon at the office or performed remotely from anywhere in Europe.

Join Upwork Inc. (Nasdaq: UPWK), a leader in connecting businesses with top-tier global talent empowered by artificial intelligence. As a Senior Lead AI Engineer, you will play a pivotal role in driving innovation and enhancing AI solutions across various work types, including freelance, fractional, and payrolled talent. Our diverse portfolio includes the Upwork Marketplace, which offers businesses immediate access to a vast pool of skilled professionals worldwide, and Lifted, our dedicated platform for enterprise organizations to efficiently source, manage, and compensate talent for all contingent work needs. From Fortune 100 companies to entrepreneurial startups, businesses depend on Upwork Inc. to discover expert talent, utilize AI-driven solutions, and transform their operations. With expertise spanning over 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and beyond, we empower businesses of all sizes to scale, innovate, and adapt in the age of AI and beyond.Since our inception, we have successfully facilitated over $30 billion in transactions and services, embodying our mission to create opportunities in every era of work. Explore more about the Upwork Marketplace at Upwork.com and connect with us on LinkedIn, Facebook, Instagram, and TikTok.

Join Our TeamAt Mollie, we believe businesses deserve a seamless financial experience. Since our inception in 2004, we have been dedicated to transforming payments and money management into a hassle-free process for every enterprise in Europe.With over 250,000 businesses relying on our comprehensive platform for payment processing, money management, and growth, we pride ourselves on being straightforward, scalable, and designed with real-world businesses in mind.As one of the fastest-growing fintech companies in Europe, with over 900 dedicated employees across more than 12 locations, our success is driven by our talented team. We prioritize speed, purpose-driven development, and a genuine commitment to our customers. Whether addressing challenges, creating market-leading products, or exploring the potential of AI to enhance productivity, you will have the autonomy to innovate and the trust to deliver impactful results.If you are eager to expand your horizons, shape the future of fintech, and be part of a high-achieving team, we welcome you to apply.Your Role and ImpactAs a Platform Engineer on the Release team, you will oversee the software delivery pipeline, directly influencing the way Mollie delivers products to our extensive client base. Our commitment to reliability is paramount, and you will be instrumental in ensuring that our software is deployed securely and dependably, with robust rollback mechanisms in case of any issues.You will lead efforts to elevate Mollie’s reliability standards to the highest levels for our critical services. Operating in a GitOps environment, you will take charge of our continuous delivery platform, tackle intricate infrastructure challenges, and spearhead initiatives to implement canary deployments and feature flags across all vital services by year-end.What You Will DeliverContinuous Delivery Excellence: Ensure the scalability, reliability, and availability of our CD platform and supporting infrastructure leveraging GitLab, Argo CD, and GitOps methodologies.Advanced Deployment Strategies: Design, implement, and refine deployment strategies, leading our ambitious timeline to roll out canary deployments and feature flags throughout the organization.Reliability & Uptime: Advocate for high operational standards, contributing directly to Mollie's strategic objectives of achieving 4 to 4.5 nines of uptime for our critical services.Monitoring & Troubleshooting: Implement effective monitoring and alerting protocols to identify issues proactively. Troubleshoot, investigate, and resolve complex system challenges to maintain optimal performance.

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 Team at GoCardlessAt GoCardless, we are revolutionizing the way businesses manage their payments. As a leading global bank payment provider, we empower over 100,000 businesses, from innovative start-ups to established enterprises, to efficiently collect and send payments using direct debit, real-time payments, and open banking solutions.With an impressive track record of processing over US$130bn+ in payments annually across more than 30 countries, we simplify the payment process for our customers, enabling them to handle both recurring and one-off payments seamlessly. Our AI-driven technologies enhance payment success rates while minimizing fraud risks. Partnering with over 2,500 banks, we provide our clients with the tools to make faster, data-driven financial decisions.Our headquarters are located in the UK, with additional offices in London, Leeds, Australia, France, Ireland, Latvia, Portugal, and the United States.At GoCardless, we prioritize support and inclusivity throughout our hiring process. If you require any assistance or adjustments, please connect with your Talent Partner. We are here to ensure you have all the support you need!Don’t worry if you don’t meet every single requirement; if this role excites you, we encourage you to apply!Platform Engineering at GoCardlessThe Platform Engineering team is a diverse, globally distributed unit, currently based in London and Riga, and expanding to our new hub in Lisbon. We collaborate with all engineering teams to empower them in building, releasing, operating, and scaling their products effectively.Our focus lies in delivering strategic projects while maintaining operational excellence. We strive for a harmonious balance between:Project Delivery: Crafting new platform components from conception to deployment.Operational Support: Ensuring our systems are robust and efficient.

Location: Portugal Department: Engineering Employment: Full-time About YLD: At YLD, our mission is to empower clients to excel in their fields. We are dedicated to enhancing our clients' capabilities, enabling them to outpace their competition. Our success stems from our clients' achievements and the extraordinary talent within our company. As a leading software engineering and design consultancy, we create sustainable digital solutions that extend beyond our partnerships, with offices located in London, Lisbon, and Porto. About the Role: As an AI Engineer, you will be integral to a dynamic team, developing cutting-edge products. We seek individuals who are curious, passionate, and eager to innovate. You will excel in problem-solving and building scalable, resilient architectures. Effective communication and teamwork are essential in our fast-paced engineering environment, where you will achieve remarkable results and bring exciting projects to life. About You: As a YLD Software Engineering Consultant, you are a highly skilled developer who exemplifies excellence in software engineering and enjoys mentoring others. You will have the chance to work on intriguing projects that challenge both product and methodology. We embrace an Agile (Scrum) environment with a test-first approach, valuing practices such as pair programming and thorough code reviews. Your enthusiasm for problem-solving and collaborative learning will be key as you engage with your team. Your Day-to-Day Responsibilities Will Include: Developing exceptional AI-driven features tailored to our clients' customers, enhancing their Digital Platforms with intelligent capabilities. Consistently implementing changes to products, including AI model integrations, prompt optimizations, and system enhancements, as we strive for a complete CI/CD model. Collaborating closely with your team on both conventional engineering and AI projects, continually pushing the boundaries to create smarter systems. Participating in regular presentations to showcase your work — from AI experiments to production deployments — to your department and the wider company.

Join NielsenIQ as a Cyber Security Engineer where your skills in Capture The Flag (CTF), Reverse Engineering, and ethical hacking will be put to the test. This role is pivotal in safeguarding our digital infrastructure against evolving security threats. You will engage in hands-on security assessments, develop innovative solutions against bot attacks, and collaborate with a dynamic team focused on enhancing our cyber defense strategies.