BI Engineer; Hybrid or Onsite
Listed on 2026-07-01
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IT/Tech
AI Engineer (Applied/Software), Data Engineering
BI Engineer
, the 1st Tech Bank in Europe for Businesses, revolutionises omnichannel payments acceptance, offers card issuing, loans and deposit accounts. is the first to pioneer and holds the top position in the Tap on Any Device technology, enabling payments acceptance on any device or even without a device.
Today is leading the transition to All-in-One business solutions, powered by its full suite of financial services. To that end, reflecting its holistic approach to business needs, has built a dynamic ecosystem featuring over 450 tech partner-innovators in the software and hardware space. Connecting directly to all local payment schemes, alternative payment methods and payment systems across the continent, further strengthens 's value proposition.
envisions to provide businesses a value-driven platform to accelerate the adoption of the latest technology.
The Role
As a BI Engineer you will play a key role in designing and optimizing the data foundations that power our advanced analytics, AI, and agentic capabilities. Working at the intersection of business intelligence, machine learning, and large language models, you will build semantic models, prepare AI-ready datasets, and enable LLM-driven insights across the organization. By leveraging modern data platforms, automation, and scalable architectures, you will ensure high-quality, reliable data that fuels smarter decision-making and accelerates 's AI-first strategy.
Responsibilities- Design semantic models supporting Power BI, LLM inputs, and ML/agentic pipelines.
- Demonstrate proficiency in SQL, KQL, DAX and complex data analysis.
- Own and evolve Silver and Gold data layers within the BI architecture.
- Optimize existing Power BI semantic models for performance and usability.
- Prepare AI/LLM-ready datasets for advanced analytics and generative AI use cases.
- Perform tasks efficiently and within agreed timelines.
- Continuously expand technical knowledge and expertise.
- Identify, design, and implement improvements—including automation and optimized data delivery.
At , we believe in amplifying human potential through AI. When you join us, you're stepping into a future-forward environment where technology empowers every role, driving smarter, more efficient.
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