Role Description Are you passionate about designing meaningful interactions between humans and data? Do you want to see your solutions directly improve patient care? In this position, you will develop next-generation data interaction for remote heart failure monitoring, working closely with clinicians, engineers, and industry in a hospital-driven environment. Data is everywhere, but turning data into actionable insights that people can effectively use remains a major challenge. In this EngD project, you will design, develop, and validate innovative data interaction solutions that enable users, ranging from engineers to clinicians, to make better, faster, and more informed decisions. You will work at the intersection of data science, human-computer interaction, and system design. Your goal is to create intuitive, robust, and user-centered solutions that bridge the gap between complex data models and the real-world application: remote heart failure monitoring. During this program, you will: - Design interactive systems that translate complex datasets into understandable and actionable insights. - Develop prototypes of interactive data science architecture and data-driven applications, including visualization dashboards and decision-support tools. - Explore AI-assisted data interaction. - Collaborate closely with industrial and clinical partners to ensure relevance and real-world impact. - Evaluate usability, effectiveness, and adoption of your designs through user studies and iterative refinement. - Integrate technical, human, and organizational perspectives into a coherent design solution. Your work contributes directly to societal challenges, such as improving healthcare decision-making, enhancing engineering workflows, and enabling responsible use of data in professional environments. Qualifications - A master’s degree (or an equivalent university degree) in Data Science, Computer Science, Human-Computer Interaction, Electrical Engineering, Biomedical Engineering, or a related field. - A design-oriented attitude with a strong interest in user-centered development. - Affinity with data visualization, interaction design, or decision support systems. - Ability to work in a team and interested in collaborating with industrial partners. - Strong analytical and problem-solving skills. - Fluent in spoken and written English. Requirements - Full-time employment for two years. - Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale TOIO (€ 3,029). - A year-end bonus of 8.3% and annual vacation pay of 8%. - Free access to a personal development program for EngD trainees. - An excellent technical infrastructure, on-campus children's day care and sports facilities. - Unlimited access to the modern on-campus TU/e Student Sports Center at an exceptionally affordable rate. - An allowance for commuting, working from home and internet costs. - A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates. Application We invite you to submit a complete application by using the apply button. The application should include: - A cover letter in which you describe your motivation and qualifications for the position. - A curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application. - Copies of relevant BSc and MSc diplomas and grade transcripts. - The result of an English proficiency test such as IELTS or TOEFL. Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected. We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled. Please note: You can apply online. We will not process applications sent by email and/or post.

• Lead the design, development and deployment of secure, scalable data pipelines and data platform components. • Design and implement batch and real-time streaming solutions using modern event-driven architectures. • Own technical design decisions across projects, balancing scalability, security, performance and delivery requirements. • Lead technical workshops, discovery sessions and architecture discussions with client stakeholders. • Assess existing client data platforms and design practical approaches for modernisation, migration and integration. • Build and maintain data ingestion, transformation and integration capabilities across a variety of data sources. • Develop cloud-native data platforms using AWS services and open-source technologies. • Ensure data quality, governance, lineage and security requirements are embedded throughout the data lifecycle. • Drive engineering best practices including code reviews, automated testing, CI/CD and Infrastructure as Code. • Support multiple client engagements, helping delivery teams maintain consistent engineering quality and standards. • Mentor and support engineers across project teams, providing technical guidance and leadership. • Perform data modelling, performance tuning and root cause analysis to resolve complex data and platform issues.

Role Description We're partnering with a growing organisation looking to expand its data team with the addition of a Data Engineer. This is an opportunity to work on a range of data projects, helping to build and optimise modern data solutions that support reporting, analytics, and business decision-making. You'll work closely with both technical and non-technical stakeholders, contributing to the development of scalable data platforms and pipelines while supporting the ongoing evolution of the organisation's data capabilities. - Develop and maintain data pipelines and integration solutions - Support the design and enhancement of cloud-based data platforms - Work with stakeholders to understand and deliver data requirements - Improve data quality, reliability, and performance - Contribute to data architecture and best practice initiatives - Support the delivery of data-driven projects across the business Qualifications - Experience working as a Data Engineer or in a similar data-focused role - Strong SQL and Python skills - Experience building and maintaining data pipelines - Exposure to cloud technologies such as AWS, Azure, or GCP - Understanding of data warehousing - Strong problem-solving and stakeholder engagement skills - Commercial experience working with modern data platforms Benefits - Fully remote working - Competitive salary and benefits package - Exposure to modern technologies and data projects - Flexible working - Opportunities for professional development and progression Company Description

Role Description We are looking for a Data Engineer to join our team. This role is fully remote and offers a direct long-term contract. - Location: Remote - Contract Type: Direct Contract - Long term - Payment: USD 5000 Qualifications - Strong experience with Python - Strong Software Engineering fundamentals like SOLID principles - Experience with containerized deployments in cloud environments (Docker, Kubernetes, EKS, etc.) - Experience working with varied data types and building robust data pipelines (nice to have) - Team player with a collaborative mindset - Comfortable in a dynamic startup environment - Experience in building and maintaining data infrastructure and pipelines in production - Growth mindset focused on continuous learning - Excited to learn about Machine Learning (nice to have) Requirements - Enjoy working on a team where code and software engineering processes are communal property - Dedicated to finding the right way to build software and continually improve - Excited about learning new things every day Benefits - Flexible work - work from home or use the Brooklyn office at your convenience - Project day - One day per month spent on whatever you think is important - Fitness stipend, commuter benefits - Business English language courses for employees in Argentina - Travel to team events and in-person all-hands - Technical books, VPN Access, high-end work computer, etc. Company Description We are a continuous multifactor authentication company that monitors biometric behavior to provide zero-interruption MFA. Our team consists of PhD machine learning experts and experienced professionals in enterprise applications and cybersecurity. - We use passive biometrics and machine learning to automate user identity - Our mission is to fundamentally change secure human-computer interaction - We launched with the United States Department of Defense as our first customer - We are a young, hungry, and well-funded company, offering a unique opportunity to join a driven engineering team