AI Solution Builder / Automation Specialist (m/w/d) – Fokus Agentic Workflows

Data and AI Engineering Specialist / Manager (m/w/d)

Armira

YOUR MISSION You will be the technical backbone of Armira’s emerging Data & AI function, responsible for building and maintaining the firm’s internal data infrastructure and AI-powered workflows. This is a two-pillar builder role: you will be responsible for (1) designing and implementing Armira’s central data warehouse, ingestion pipelines, data models, and reporting layer, and (2) building AI- and LLM-powered internal tools and workflows that support the investment team’s day-to-day processes, leveraging existing APIs, agent frameworks, and workflow automation tools. Depending on your background, you may lean more toward one pillar initially – what matters is the ability and drive to work across both. YOUR RESPONSIBILITIES Pillar 1: Data Warehouse & Infrastructure * Architect, build, and maintain a centralised data warehouse consolidating fragmented data sources across the firm * Design ETL/ELT pipelines to ingest, transform, and structure data from market databases, deal pipeline sources, and internal systems * Implement data quality frameworks and governance standards appropriate for a regulated financial services environment  * Build dashboards and reporting tools to enable self-service analytics for the investment team   Pillar 2: AI Workflow Development & Internal Tooling * Design and build AI-powered workflows (e.g., LLM integrations, n8n/Make automation) to automate and enhance deal sourcing, due diligence support, and internal reporting workflows * Develop internal tools and applications using LLM APIs, integrating with existing systems (CRM, document management, communication platforms) * Prototype, test, and iterate on AI-powered workflows, translating business requirements into technical solutions under the guidance of senior leadership * Stay current with the rapidly evolving AI/LLM ecosystem and evaluate and recommend new tools and approaches for implementation Technical Approach & Stack Expectations We expect you to leverage well-established, cloud-native tools and to keep the architecture simple, well-documented, and maintainable, so that another engineer could understand and operate key pipelines within a short onboarding period. We are not optimising for cutting-edge custom architectures, but for pragmatic, robust solutions. The expected tech stack aligns with well-established tools in data engineering: * Data Warehouse: e.g., Snowflake, Fabric * Cloud: Preferred Azure * Transformation & Orchestration: dbt / Airflow * Visualisation: Tableau / Power BI * Programming: Python, SQL * AI/LLM: OpenAI, Anthropic APIs; agent frameworks (LangChain, MCP, etc.); workflow automation (n8n, Make) YOUR PROFILE Required Qualifications: * Degree in Computer Science, Data Science, Engineering, or a related quantitative field * 2+ years of professional experience (Specialist: 2–5 years; Manager: 5+ years) in data engineering, software development, or applied data science * Ideally, at least one end-to-end build of a data product, internal tool, or data platform in a professional setting (e.g., designing a data model, building pipelines, and putting dashboards or an internal application into production) * Strong programming skills in Python; solid experience with SQL and modern data stack tools (e.g., Snowflake, dbt, Airflow) * Experience with cloud platforms (AWS, GCP, or Azure) * Familiarity with LLM APIs (OpenAI, Anthropic, or similar) and willingness and experience to build AI-powered workflows (e.g. n8n, make.com) * Ability to work independently, manage ambiguity, and deliver end-to-end solutions * Fluent in English; German proficiency is a strong plus Preferred Qualifications: * Experience in or exposure to financial services, consulting, or private equity * Familiarity with agentic AI frameworks (LangChain, CrewAI, or similar) and/or workflow automation platforms (n8n, Make) * Experience with data visualisation tools (Tableau, Power BI, or similar) * Understanding of PE workflows (deal sourcing, due diligence, reporting) as context for building effective internal tools * Track record of building data products or internal tools in a smaller-team environment WHY US? What We Offer: * Unique opportunity to build a function from scratch at a leading DACH investment holding * Deep exposure to the investment team and PE deal-making: you will sit in on deal discussions, portfolio reviews, and strategy meetings, building a genuine understanding of how private equity works and developing your own professional network in the industry * Competitive compensation  * Munich-based role with work-from-home options, combined with a collaborative, entrepreneurial team culture * High autonomy with clear career growth path as the data function scales * Learning and development budget for conferences, courses, and certifications

Payroll Specialist (m/f/d)

Appinio

Allow us to introduce ourselves Hello there! We’re Appinio, a global market research company that combines an AI-powered insights platform with expert consultancy. On a mission to make the world a little more fact-based, we help companies understand how consumers think and make smarter decisions. We started out in Hamburg back in 2014, but we’re now humbled to call the world our playground, with over 260 employees spread across 13 countries (we’re remote-first), 2600+ international clients, delivering research from +190 markets, globally. Want to be a part of the Appinio movement? 🚀 Here at Appinio, we value transparency in our recruitment process, and we've created a blog to share what to expect during each step of our journey together: here Your mission as a Payroll Specialist We are looking for a tech-savvy, and proactive Payroll Specialist (m/f/d) to join our People Team and ensure our global workforce is supported by a world-class payroll engine. As our Payroll Specialist, you'll turn the end-to-end (preparatory) payroll process across our international entities - adhering to local regulations and deadlines - into a seamless, "prime" experience for every Appinio team member. You'll build smarter, more scalable processes and systems to support continued successful growth. A few words about the team Our People Team operates with a product mindset. We value transparency, collaboration, and true partnership with our stakeholders. Rather than ticking off task lists, we focus on understanding customer needs, driving adoption, and delivering meaningful outcomes. We are trusted partners to the business, advocates for our employees, and pragmatic, business-savvy solution builders - always aiming to improve how people experience Appinio. What you’ll be doing * Global payroll ownership: Drive the preparatory payroll process for all international entities (Germany, Austria, France, Spain, Portugal, UK, and Netherlands), ensuring accuracy and on-time delivery * External partner management: Serve as the lead point of contact for external payroll providers, our EOR (Remote), and our PEO in the US, overseeing all payroll-related compliance and resolving statutory queries with precision * Employee support & service: Act as the primary contact for payroll-related tickets, resolving employee inquiries with empathy, speed, and a high level of expertise * Systems optimization & automation: Proactively identify inefficiencies to automate payroll workflows, reducing manual steps and enhancing the scalability of our global operations * Sales & performance incentives: Partner closely with RevOps to ensure the accurate and timely calculation of commission structures and bonus payments * Collaboration with Finance: Support the Finance team with staff cost reporting, audits, and data-driven workforce planning * Grant & subsidy support: Partner with Finance and Legal to support applications for international grants and subsidies (e.g., R&D tax credits or local employment grants) by providing accurate personnel data, salary documentation, and compliance reporting You will thrive in this role if * You are a payroll expert: You bring 3+ years of experience managing (preparatory) payroll for Germany * You bring experience with managing (preparatory) payroll in France, and/or Spain, with a deep understanding of statutory requirements (experience with AT, UK, NL, US or PT is a plus) * You have proven experience managing external payroll providers to ensure compliance; experience with EOR and PEO providers is a plus * You are a process optimizer: You have a "product mindset" and a track record of identifying manual inefficiencies and implementing automated workflows between HRIS and Payroll systems * You are data-driven: You possess a strong analytical mindset and are proficient in Excel/Google Sheets for complex data handling * You are an empathetic communicator: You have the ability to explain complex tax and payroll issues to employees with patience, clarity, and a service-oriented mindset * You live ownership: You thrive in fast-paced, scaling environments and take full responsibility for ensuring payroll remains transparent, compliant, and audit-ready * You are professionally fluent in both English and German (written and verbal) What’s in it for you? * Flexibility Policy - Average is 30 days taken, however, we do not have a hard cap of number of vacation days as we know life happens * Temporary work from abroad - If you're based in the EU, you can work outside your country of residence for up to 180 days per year * All the hardware you need and your own MacBook * If you are located in Hamburg or Berlin, you'll get a Deutschland ticket or access to a mobility budget with the NAVIT app to get you to and from the office space * Subsidised Urban Sports Club or ClassPass membership based on location * In case you’re located in one of the cities where most of our fellow Appinioneers are (Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York), you can get access to our Co-working spaces Additional role details * This role will report directly to our Team Lead Talent Acquisition & People Operations Our interview process * Interview with our Team Lead Talent Acquisition & People Operations * Case Study Interview with Senior members of the People Team * Executive Interview with C-Level * Reference Calls * Offer Kind reminder: Please ensure that your application is submitted in English. This post not only outlines our ideal candidate but also serves as an inspiration for what this role can evolve into. Even if you consider yourself an 80% fit but have a genuine passion for this position, we encourage you to apply. We're eager to hear from individuals who share our enthusiasm. Appinio is an equal-opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Please read our privacy policy here. Learn more about us:  appinio.com    LinkedIn    Xing     Kununu    Instagram

Head of Applied AI (m/f/d)

enmacc

Founded in 2016 and headquartered in Munich, enmacc is a high growth scale-up with a diverse team of over 100 professionals. We’re passionate about energy, technology, and building something that makes a real impact. If you are looking for an entrepreneurial environment where your work directly contributes to a more sustainable and digital energy future,  we invite you to submit your application below. Your mission: As the Head of Applied AI, you will lead enmacc’s transition into an AI-first trading platform. You will unify our distributed data talent into a high-performance subdepartment, spearheading a dual-track strategy: leveraging Classical Data Science for market intelligence and Modern LLM Development for product automation. You are the bridge between raw energy market data and the intelligent features that will define the future of commodity trading.   Your Responsibilities  1. DATA SCIENCE & PREDICTIVE ML * Market Intelligence: Drive the development of predictive models, anomaly detection, and optimization algorithms tailored to the energy trading domain. * Core DS Leadership: Oversee the transition of Data Science from product-specific silos into a centralized powerhouse that provides advanced analytics across the entire enmacc ecosystem. * Statistical Rigor: Maintain high standards for model validation, feature engineering, and experimental design. 2. MODERN AI & LLM ADOPTION * Generative Strategy: Lead the adoption of LLMs and Generative AI. This includes building production-ready RAG (Retrieval-Augmented Generation) systems, agentic workflows, and NLP solutions for unstructured trading data (chats, news, contracts). * AI Productization: Move beyond "wrappers" to build deeply integrated AI features that solve complex domain problems, focusing on evaluation frameworks and cost-efficient scaling. * Rapid Prototyping: Foster a culture of fast experimentation with the latest AI research to keep enmacc at the cutting edge. * Strategic Leadership: Build and lead a unified Data & AI group, integrating existing specialists (Data Engineering, ML Engineering, and Data Science) into a high-velocity team. * AI & LLM Roadmap: Lead the development and deployment of LLM-powered features. This includes exploring RAG (Retrieval-Augmented Generation) for domain knowledge, automated trade summarization, and intelligent market assistants. * Product Innovation: Drive the ML roadmap for product development, identifying where predictive modeling and NLP can create a competitive advantage in energy and commodity markets. * Technical Excellence: Provide hands-on technical mentorship. You should be as comfortable discussing vector databases and prompt evaluation as you are with CI/CD for ML (MLOps). * Domain Integration: Partner with Product and Business leaders to translate complex trading requirements into technical AI solutions.   Your Team You will consolidate a currently distributed team to foster architectural consistency and shared AI standards: * Data Engineering (from Platform) – Ensuring the data "plumbing" supports real-time AI. * ML Engineering (from Platform) – Managing the lifecycle of models from experiment to production. * Data Science (from Product) – Translating business problems into statistical and algorithmic solutions.    Your profile  * AI & ML Expert: Proven experience in Machine Learning and, crucially, modern LLM development (e.g., working with OpenAI/Anthropic APIs, open-source models, vector stores, and agentic workflows). * Technical Foundation: You understand the full stack—from data warehousing to model monitoring. You can lead "the how" as well as "the what." * Trading Interest: You are genuinely interested in the trading domain. You see the potential for AI to navigate the complexities of energy markets and commodity flows. * Strategic Builder: You are excited to define the culture, tech stack, and workflows of a brand-new department from the ground up. Don't match every single requirement? We still want to hear from you! OUR OFFER  * Competitive compensation package, including 28 days of annual leave. * Entrepreneurial, impact-driven culture with flat hierarchies and high autonomy. * Hybrid & Workation flexibility that balances office connection with the freedom to work from home or abroad. * €2,000 annual L&D budget plus 5 dedicated "Level Up" days to fuel your growth (for all full-time employees). * Commute & Wellness support, including fully covered gym memberships and paid transportation for office days. * Inclusive, international team that celebrates diversity and offers language classes to help you settle in. * AI-first environment where you’ll collaborate with a dedicated AI Philosophy and cross-functional expert groups. * Premium tech & workspaces, featuring top-tier Apple/Bose hardware in modern, dog-friendly offices.   About enmacc enmacc is Europe’s largest over-the-counter trading platform for energy and environmental commodities. We are digitizing the world’s energy markets by replacing manual, outdated processes with speed, transparency, and liquidity. Our platform empowers a massive network of over 2,400 active traders to manage risk and accelerate the global energy transition. By providing a secure and efficient trading environment for 650+ companies, we facilitate more than 14,000 monthly requests for quotes and 8,000 monthly trades. With a traded volume exceeding 60 TWh per month, enmacc enables energy suppliers, industrial companies, and trading houses to access the liquidity they need to thrive in a shifting market. As an Equal Opportunity Employer, enmacc is a diverse environment where all backgrounds, identities, and cultures are welcomed and celebrated. If you're excited about this role, apply and help us shape the future of energy trading!