BI Engineer (Hybrid or Onsite)
At a glance
Mid-level Data Analysis & BI role at Viva.com. Marousi · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Build semantic models for Power BI, LLM inputs and machine-learning or agent workflows
- Maintain the Silver and Gold layers, and tune Power BI models for speed and usability
- Prepare datasets for generative AI and advanced analytics use cases
- Use SQL, KQL and DAX to investigate complex data questions
- Find ways to automate work and improve how data reaches its users
What you bring
- At least two years in BI engineering or a similar data-focused role
- A bachelor's degree in computer science, data science, mathematics or a related subject
- Strong command of SQL, KQL, DAX and semantic model design or optimization
- Experience with relational and NoSQL databases, plus Power BI or Tableau visualization
- English fluency, along with Python, Git and CI/CD experience
Who this fits
This mid-level role suits someone who can build and improve BI data foundations while supporting AI and machine-learning workflows. The position is onsite in Marousi, Greece.
From the employer
Viva.com is the first Tech Bank in Europe for businesses, serving 31 countries through its pan-European critical infrastructure for payments & banking services.
Viva.com’s offering spans omnichannel payment acceptance, deposit accounts, card issuing, and a broad suite of financing solutions, providing businesses of all sizes and sectors with the tools they need to operate efficiently, both domestically and internationally, through a single integrated platform.
Viva.com pioneered and leads in Tap on Any Device technology, enabling acceptance on any Android device or iPhone, while connecting directly to all major international and domestic card schemes, local payment systems, and alternative payment methods across Europe.
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 Viva.com’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 Viva.com, 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.
Requirements
- Minimum 2 years of relevant working experience as BI Engineer or similar data/BI role
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field.
- Strong understanding of data modeling, versioning, and BI best practices.
- Experience with relational (SQL Server, MySQL) and NoSQL databases (MongoDB, CouchDB).
- Proficiency in SQL, KQL, DAX, and semantic model design/optimization.
- Advanced data visualization skills (Power BI, Tableau).
- Familiarity with cloud platforms (Azure, GCP, AWS) and modern data architectures.
- Experience preparing AI/LLM-ready datasets and supporting ML/agentic pipelines.
- Programming skills in Python and hands-on experience with Git and CI/CD pipelines.
- Strong analytical, communication, and collaboration skills; fluency in English.
Benefits
💸 Competitive compensation package;
🎯Annual bonus based on your performance and targets’ achievement;
🏥 Private health insurance for you and your family;
💻 Top of the Line tools and equipment;
📚 Career development and regular feedback to develop your skills;
🏃🏽♂️ Employee Wellness Program like Daily group sessions led by professional coaches.