Dublin, Dublin, Ireland
About the Company Affinidiis a technology company dedicated to changing data ownership for good. We empower businesses and individuals with control and ownership of their data, with a comprehensive approach to managing their holistic identity – accounting for all aspects of their digital footprint while ensuring privacy and security.
Affinidi's technology enables users to benefit from decentralised digital identity solutions. We believe that everyone has the right to own and control their data, and we are committed to creating a trusted digital credentials ecosystem that empowers businesses and individuals to securely exchange data and services across borders and industries.
We are in search of a self-motivated, and experiencedData & Analytics Engineer (m/f/d) to join our Affinidi Elements team. In this role, you will work with global peers on teams dedicated to the design, development, testing, implementation, and integration of data-focused products and services, that are both developer, and consumer-facing. As aData & Analytics Engineer, you will be responsible for the development, prototyping and implementation of the data layers that power the next generation of data and identity products from Affinidi. Your expert skills in designing, architecting, and building quality systems will intersect with your hands-on coding, performance testing, and integration experience. This position reports to the Director of Engineering.
Our work culture at Affinidi is shaped by the following tenets:
We are unapologetically customer-focusedWe invest in cultures and teams to enable high performanceEmbraces experimentation and builds fastWe have the courage to be misunderstoodWe work together to unlock dataWhat's in it for you: Develop, implement, and maintain best-in-class data/analytics pipelines and system as part of the core Affinidi Elements product offeringPrototype, program and help ship the next generation of Affinidi Elements products that lets developers and consumers access data, services and data models seamlessly and securelyBuild a scalable web services architecture that supports privacy-preserving data access, data cataloging, search and discovery, data transformationBe responsible for the development of innovative, nonstandard approaches for knowledge discovery including the use of AI/MLDevelop features and improvements to the broader Affinidi Elements product in a secure, well-tested, and performant way, primarily using Typescript, Python, R, RustRefine and optimize the implemented data processing methods to provide more accurate results or remove inefficiencies or enhance the service offeringTroubleshoot, identify, and resolve technical data and analytics-related issues.Drive continual improvement of the Affinidi Elements data and analytics solutions and systems for protection against evolving threats and efficiencyAnalyze and interpret highly complex data to arrive at actionable recommendationsCollaborate with Product Management and other stakeholders within Engineering to maintain a high bar for quality in a fast-paced, iterative environmentSolve technical problems with large scope and complexity while you advocate for improvements to product quality, security, and performanceCraft code that meets our internal standards for style, maintainability, and best practices for a high-scale systems environment. Maintain and advocate for these standards through code review.Confidently own moderate to significantly complex features and improvements with minimal guidance and support from other team members. Collaborate with the team on larger projects.Mentor other engineers, contribute to team and organizational improvements in processes and toolingYou will be a great match if you: Have 10+ years of overall professional experienceHave 3-5 years of experience database development and tools such as data mining, OLAP, ETL, data modelling, complex SQL queries, performance tuning, and Postgres database development (DDL, DML, stored procedures) - (amust-have)Have extensive expertise in AWS cloud computing and native databases, especially Redshift, as well as the various data processing tools in the AWS platform - (a must-have)Can demonstrate hands-on experience building a data/analytics pipeline from the ground up, as well as hands-on experience working with data to power AI/ML training and inferenceHave experience with performance and optimization problems, a demonstrated ability to both diagnose and prevent such problems, and a desire to share your knowledge and scale through othersEnjoy working in a fast-paced startup environment where you can be autonomous and experimental, be part of a truly global team, and can work up and down the stackHave strong technical documentation skills, including the C4 Model and Architectural Decision RecordsUnderstand design patterns and have working experience in developing and deploying microservices in the cloud, and have a proven track-record in doing soCare about privacy by design, security, testing, high-performance systems, and mentoring others, and have an inclination towards clear communication, inclusion and visibilityExperience working cross-functionally, and across locations and timezonesDomain expertise in decentralized identity solutionsExperience in developing systems with cryptography requirements What can you expect from us: Unlimited vacation policy Competitive compensation package Work within international environment Learning Budget Sounds like you? Apply now!
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We believe in hiring different and diverse talent and providing a safe space where everyone can share their views without fear, where differences are celebrated, and where no one is left out. Inclusive cultures are the foundation for collaboration and innovation within our team.
For information about the way Affinidi collects, uses, and discloses your personal data when you submit an application for employment, please refer to the Privacy Notice accessible at https://www.affinidi.com/candidate-privacy-notice . By applying for employment with Affinidi, you acknowledge having read and understood the Privacy Notice, and you consent to the collection, use and disclosure of your personal data submitted to Affinidi in accordance with the Privacy Notice. Accepted file types: pdf, doc, docx, txt, rtf
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