Data/Backend Engineer

Location: Vienna, Austria Remote within Europe, with quarterly one-week visits to the Vienna office About the Company They were recently recognized as one of Austria’s most exciting scale-ups. Having raised more than €15 million, they offer an ambitious and international team, an exciting AI-first product, and the opportunity to work with modern technologies while helping shape the future of finance. They empower business leaders to make better strategic decisions in financial management, reporting and planning. Their mission is to help companies connect, analyze, forecast and automate all their financial data in one place. They are backed by renowned investors, including Atlantic Labs, CommerzVentures and founders of Wefox, and are building the next generation of AI-native finance software. Your Mission As the company evolves into an AI-first and increasingly programmable finance platform, you will help connect their existing backend and data infrastructure with LLM-powered features, agents and self-service capabilities. You will work across backend, data and AI product engineering to make complex financial systems accessible through reliable APIs, tools and intelligent workflows. This is a hybrid engineering role. You do not need to be an expert in Backend Engineering, Data Engineering and AI Product Engineering from day one. They are looking for someone who is already strong in at least one of these areas and excited to develop across the others. At the company, Backend and Data Engineering work closely together. They believe engineers should understand both worlds and be able to move between teams and domains when needed. If your background is mainly in Backend Engineering, they will help you grow into Data Engineering. If you are primarily a Data Engineer, they will support your development into Backend and AI Product Engineering. Their goal is to build engineers with a broad understanding of the platform rather than narrow specialists. Your Responsibilities Backend Engineering Design, build and maintain scalable backend services using Python.Develop new product features and reusable backend architectures.Build reliable APIs, integrations and business logic.Improve system performance, reliability, security and maintainability.Identify technical bottlenecks and continuously improve the platform.Participate in architecture discussions and technical decision-making.Expose existing system capabilities through clear, secure and well-structured interfaces.Data Engineering Design, build and maintain scalable ETL and ELT pipelines.Develop and operate data workflows using AWS services such as Lambda, Step Functions, S3 and Batch.Contribute to the evolution of their data platform and Medallion Architecture.Ensure data quality, consistency and reliability across pipelines and models.Optimize data transformations for performance and cost efficiency.Build integrations with external systems, APIs and customer data sources.Monitor pipelines, troubleshoot failures and improve observability.Document data models, transformations and architecture decisions.AI Product & Agent Engineering Build production-ready product features powered by large language models.Integrate LLMs into existing products, workflows, backend services and data systems.Expose complex business logic, financial data models and system capabilities to AI models through structured APIs, tools and agent interfaces.Design reliable AI workflows using tool calling, structured outputs, retrieval and multi-step agent processes.Build agents that can understand user intent and safely interact with the company's data and product capabilities.Implement validation, guardrails, permissions and fallback mechanisms for AI-generated outputs and actions.Evaluate AI features across quality, reliability, latency, security and cost.Contribute to prompt design, context management and model selection.Help make the company increasingly self-service and programmable, enabling customers to create their own workflows, integrations, reports and planning models.Cross-functional Collaboration Collaborate closely with Product, Frontend and other engineers.Help shape architecture decisions across Backend, Data and AI.Translate product requirements into robust technical solutions.Write clean, maintainable, well-tested and well-documented code.Share knowledge across teams and continuously improve engineering standards.Take ownership from problem definition through implementation and production operation. Your Skills Core Skills Strong Python programming skills.Experience building and operating production software.Good understanding of object-oriented programming and software design principles.Solid SQL knowledge.Experience with AWS.Experience designing or consuming REST APIs.Experience with Git and CI/CD.Strong analytical and problem-solving skills.Ability to work independently and take ownership.Passion for building scalable and reliable software. Nice to Have Experience with ETL or ELT pipelines.Experience with dimensional data modelling.Understanding of Medallion Architecture.Experience with Docker and Kubernetes.Familiarity with GraphQL.Experience with Terraform or Infrastructure as Code.Experience with ClickHouse, Redshift or other analytical databases.Experience working with JSON, CSV, Parquet and external APIs.Experience building LLM-backed product features.Familiarity with RAG, embeddings, vector databases or semantic search.Experience with agent frameworks, MCP or similar AI integration standards.Experience evaluating or monitoring AI systems in production.Understanding of security and permission models for AI-driven actions. What They're Looking For They are looking for engineers who are curious, pragmatic and eager to learn. You may already be an experienced Backend Engineer looking to expand into Data and AI Product Engineering, or a Data Engineer interested in learning more about Backend systems and LLM-powered products. You do not need to cover every area from day one. What matters most is that you bring strong engineering fundamentals in at least one domain and are motivated to grow into the others. What matters most: Strong engineering fundamentalsCuriosity and willingness to learnOwnership and responsibilityPragmatic problem-solvingProduct thinkingA strong quality mindsetPassion for building useful productsWhat You Can Expect Join one of Europe’s most exciting AI-first finance start-ups.Take significant ownership and responsibility from day one.Work across Backend, Data and AI Product Engineering.Learn from experienced engineers and continuously broaden your technical skill set.Shape the architecture of a modern AI-native finance platform.Build product capabilities that make complex financial workflows programmable and self-service.Work with a highly motivated international team.Use modern technologies and engineering practices.Work from the office in the heart of Vienna or remotely with quarterly office weeks in Vienna.Receive competitive compensation, equity participation and meaningful opportunities for personal and professional growth. Build the future of AI-powered finance.