Data Engineer – migration Informatica -> TPT Teradata

Our client is a global tech company has been at the forefront of data innovation for over four decades. With offices across North America, Europe, and APAC, they work with large enterprise client to make better decisions through advanced analytics, data science, and cloud-based platforms. Their European tech hub is known for combining cutting-edge engineering with real-world impact — particularly in industries like finance, telecommunications, and manufacturing. The local team collaborates with international units and contributes directly to product development, research, and client delivery. What sets them apart is a strong focus on trust, innovation, and sustainability — both in technology and team culture. The company fosters an open, knowledge-sharing environment where experimentation is encouraged, and where AI and data science meet real-world impact.• 5+ years of experience in IT • Project management experience in Finance or Risk IT • Experience with data modelling, mapping, and regulatory data • Proven background in agile projects and stakeholder management • Strong French and English (both are mandatory) • Located in the Czech Republic (ideally Prague) • Willingness to travel to France, Paris regularly (3 days/week, or stay there for longer period - all costs are covered) Technical skills • Good command of SQL (for data analysis) • Familiarity with project tracking tools (e.g., JIRA) • Strong documentation skills (Office Suite) • Mastery of BI decision-making tools is a plus.In this role, you will join a multinational team working on a data warehouse platform that supports entities across Europe. The aim is to centralise, structure, and deliver granular financial and risk data to both internal systems and European regulators. This is a long-term role at the intersection of data governance, regulatory reporting, and project delivery, with strong exposure to business teams in Finance, Risk, and IT. Your responsibilities: • Coordinate project activities and support data-consuming business lines • Collect, structure, and analyse business requirements (Finance / Risk) • Lead workshops, document functional specifications, and map data flows • Support test strategy, data quality checks, and incident resolution • Contribute to the functional evolution of the data warehouse • Model incoming data and support integration into the central platform • Collaborate with IT project managers and raise alerts when needed • Ensure delivery milestones are met and support change request handlingThis opportunity is open only to candidates with valid EU work authorization or a registered EU freelance/business license (B2B). The selection process is led by a senior IT recruiter with relevant experience, ensuring a professional and relevant discussion – without generic recruiter talk. If this sounds like you, we’d love to hear from you!

Our client is a global technology company that has been at the forefront of data innovation for over four decades. With offices across North America, Europe, and APAC, they support large enterprise clients in making better decisions through advanced analytics, data science, and cloud-based platforms. Their European tech hub combines enterprise-level scale with innovation-driven AI initiatives. The team works on real-world use cases, particularly in finance and regulated industries, where generative AI is applied to large operational and log-based datasets. The company fosters an open, knowledge-sharing culture where experimentation is encouraged, and AI solutions are built with long-term scalability and measurable business impact in mind.• Professional French (C1/C2) – mandatory • Proven senior-level experience as a Data Scientist • Hands-on experience with generative AI (LLMs, OpenAI, Hugging Face, LangChain, transformers, etc.) • Strong SQL and experience working with large enterprise datasets • Advanced Python skills (Pandas, NumPy, Scikit-learn, etc.) • Experience deploying AI models into production environments • Strong communication and stakeholder interaction skills • Fluent English Nice to have: • Experience with MLOps, CI/CD for ML • Experience with cloud platforms (AWS, Azure, GCP) • Background in financial services or regulated enterprise environmentsWe’re looking for a Generative AI Data Scientist who will design and implement AI solutions connected to large enterprise datasets. You will be part of a focused technical team exploring how generative AI can extract value from complex data environments and support production-level deployment. Your responsibilities: • Design and implement generative AI solutions (LLMs, RAG, transformer-based systems) • Work with Teradata databases and large SQL-based datasets • Build, test, and deploy machine learning models using Python • Integrate AI models with enterprise data platforms • Contribute to experimentation and proof-of-concept initiatives • Support production deployment and scaling of AI solutions • Communicate technical results clearly within the team This is a technical, hands-on data science role focused on delivery rather than stakeholder leadership.This opportunity is open to candidates based in the Czech Republic with valid EU work authorization and the ability to cooperate on a B2B/freelance basis. Occasional business travel to France can be expected. The selection process is led by a senior IT recruiter with strong technical background, ensuring a relevant and professional discussion. If this sounds like you, we’d love to hear from you.