(Senior) Consultant (m/f/d) AI Infrastructure & Technology at Magpie Projects

Frankfurt, Hesse, Germany -

Full Time

Start Date

Immediate

Expiry Date

24 Aug, 26

Salary

0.0

Posted On

26 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Infrastructure, Data Engineering, Machine Learning, Cloud Architecture, ETL/ELT Processes, Prompt Engineering, RAG, Agentic AI, Power BI, Tableau, Agile Methodologies, Data Analytics, Business Process Automation, Stakeholder Communication, Financial Sector Knowledge, Python

Industry

Business Consulting and Services

Description

About your Magpie Projects Team Consulting x Financial Services – Your Chance to Shape the Future! Are you an experienced consultant (m/f/d) ready to take the next step in your career? Are you looking for a dynamic environment in a fast-growing company? Then you’ve come to the right place! We provide the platform for you to help shape the financial world of tomorrow with cutting-edge technology, smart strategies, and an international team. Here, you can apply your expertise and take it to the next level. Sounds like you? Let’s talk! Your responsibilities Support AI and Data Analytics projects in the financial sector by planning, organizing, and executing work packages using agile methodologies, ensuring compelling results are delivered and presented on time. Design, develop, and optimize robust data pipelines, including scalable ETL and ELT processes. Extract actionable insights from complex datasets using exploratory data analysis, statistical methods, and Machine Learning models. Empower data-driven decisions by building and maintaining interactive dashboards and reports using tools like Power BI and Tableau. Leverage leading cloud platforms like AWS, Azure, or GCP to build and deploy modern data architectures. Engineer automated solutions for complex business challenges using cutting-edge technologies such as Agentic AI frameworks, Prompt Engineering, and Retrieval-Augmented Generation (RAG). Collaborate actively within interdisciplinary teams, learn from experienced colleagues, and build long-lasting client relationships through outstanding project delivery and high customer satisfaction. Drive thought leadership and business development by supporting proposal processes, developing Proof of Concepts (POCs), and preparing presentations and whitepapers. Actively participate in internal knowledge-sharing around Data Analytics and AI, and continuously advance your professional profile by taking advantage of coaching and training opportunities. Your ticket Your educational foundation is a Bachelor’s degree in a quantitative or business-related field. A Master’s degree, MBA, or PhD is a strong plus. You bring initial hands-on experience in at least one of the following key areas: Data Architecture & Databases, Cloud Infrastructure, Data Engineering, Data Analytics, Machine Learning, LLM & Context Engineering, or Business Process Automation. Data-driven business models are familiar to you, and you can easily translate complex business requirements into concrete technical solutions. You are highly interested in current technological trends in the financial sector – especially in Artificial Intelligence (AI) – and have a clear drive for continuous professional development. Confidently and precisely, you communicate in both German and English to make technical concepts easily understandable for diverse stakeholders. You tackle analytical challenges with a structured approach and demonstrate a strong interest in agile methodologies. As a true team player, you stand out with intercultural competence, a good sense of humor, an entrepreneurial spirit, and a hands-on approach – including readiness for on-site client work. What we offer Performance-based salary: We offer you an attractive salary that recognizes your dedication and clearly values your success. Flat hierarchies and dynamic environment: We are a fast-growing company with flat hierarchies all the way up to the C-level. True team spirit: With us, you are not just a colleague – you’re part of a real team. Collaborative projects, regular events, and a strong sense of camaraderie are part of our daily work culture. Modern mobile office policy: We offer a mix of freedom and teamwork, with flexible working hours, EU-remote working, and sabbaticals, enabling you to balance your professional and personal life. Extensive training opportunities: Whether you want to develop new skills or take deep dives into specialized topics, our programs will support your career growth. Partnerships with leading tech companies: Work with IBM, NVIDIA, and KAIZEN, and benefit from access to cutting-edge technology, industry expertise, and exciting collaboration opportunities. Attractive employee benefits: Company smartphone for private use, pension plans, and tax advantages. Ready to shape the future of finance with us? Apply now! Your contact About us Magpie Projects - Leading your transition to integrated Financial Markets. Emerging from LPA Consulting, we bring over two decades of capital markets expertise but now sharpen our focus on forward-looking strategic transformation. We act on early insights to help clients stay ahead, transforming intelligence into actionable strategies and guiding clients from traditional capital markets toward the more integrated financial markets, where public and private capital flows intersect. We stay at the forefront of change, helping clients navigate shifts – whether in policy, technology, or changing structures. We ground ambition in experience, enabling faster decisions and measurable outcomes. As financial markets evolve, so must the tools. We embed AI and use your data to build smarter, scalable systems, always applying technology with purpose.

Responsibilities

Support AI and data analytics projects in the financial sector by designing robust data pipelines and implementing modern AI frameworks like RAG and Agentic AI. Collaborate with interdisciplinary teams to deliver actionable insights and drive business development through POCs and whitepapers.