Senior Back End Engineer

At Thought Machine, we are on a daring mission to eliminate legacy technology from the banking sector. By developing cutting-edge core and payments technology that operates natively in the cloud, we aim to redefine the foundations of modern banking. This ambitious endeavor requires talented individuals who can collaborate effectively to create exceptional te…

Join Our Innovative Team at Air AppsAt Air Apps, we are driven by a vision of innovation and speed. As a family-founded company, our mission is to revolutionize how individuals plan their resources with the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP). Since our inception in Lisbon, Portugal, in 2018, we have expanded to San Francisco and have achieved over 100 million downloads globally. Our self-funded journey reflects our commitment to crafting solutions that truly impact lives.We constantly challenge conventional methods, leveraging AI-driven technology to create meaningful products that empower users worldwide. Be a part of our quest to redefine resource management and make a difference in people's lives.Your Role as an AI/ML EngineerAs an AI/ML Engineer, you will be instrumental in the design, development, and optimization of machine learning models that enhance our mobile applications. Collaborating closely with product managers, engineers, and designers, you will help create intelligent, data-driven features that elevate user experiences. Your proficiency in artificial intelligence and deep learning will enable us to stay ahead in the competitive mobile app landscape.This posting serves to expand our talent pool as we prepare to officially launch this position. We will reach out once the job is formally posted.Key ResponsibilitiesDevelop, train, and refine machine learning models for various mobile app functionalities.Research and apply cutting-edge AI methodologies to boost user engagement and app performance.Work collaboratively with cross-functional teams to integrate AI-enhanced solutions into our products.Design and maintain robust ML pipelines to ensure effective model deployment and monitoring.Analyze large datasets to extract insights and support data-driven decisions.Stay informed on the latest AI trends and best practices, integrating them into our development workflows.Optimize AI models for mobile environments, ensuring high performance and minimal latency.

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 dynamic Notebooks team at Datadog as a Senior Staff AI Engineer, where your expertise in AI and machine learning will be pivotal. Our Notebooks platform empowers users to perform ad-hoc data analysis, collaborative investigations, and technical documentation seamlessly. We are currently enhancing our offerings with AI-driven workflows that facilitate natural language data analysis, assist in graph generation, and automate investigative processes. In this role, you will lead the technical efforts to design, develop, and deploy innovative AI features that set industry standards. We seek a product-focused ML engineer who possesses strong technical skills, exceptional communication abilities, and a proven history of executing impactful projects from inception to completion.At Datadog, we prioritize a collaborative office culture that fosters creativity and strong relationships. Our hybrid work model ensures that our team members can achieve an optimal work-life balance.

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 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 Kaizen Gaming as a Lead Machine Learning Engineer, where you will leverage advanced AI technologies to enhance our diverse gaming platform. In this pivotal role, you will collaborate with a talented team of Data Scientists and Engineers to create scalable Machine Learning pipelines and operationalize cutting-edge models. Your work will directly impact millions of users across 19 markets, ensuring they receive personalized gaming experiences and robust fraud detection capabilities. You will also have the opportunity to design innovative solutions, automate deployment processes, and optimize our cloud environments, fostering a culture of continuous improvement and excellence.

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.

Join inetum2 as a Data Scientist and leverage your analytical skills to drive data-driven decision making. In this role, you will work with large datasets, utilize advanced analytics techniques, and collaborate with cross-functional teams to uncover insights that impact business strategy.

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.

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.

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.