Senior Data & AI Engineer

• Design and develop Data & AI solutions for our customers.
• Work closely with customers to understand their business needs and translate them into effective technical solutions.
• Act as a trusted technical advisor, proactively recommending solutions, improvements and new opportunities.
• Design, build and maintain semantic models in Power BI, with a strong focus on data modelling best practices.
• Develop advanced DAX measures and calculation logic to support complex business reporting needs.
• Build and maintain high-quality, scalable Power BI reports and dashboards.
• Use SQL to analyse, transform and prepare data feeding into your models.
• Work within Microsoft Fabric to support, extend and troubleshoot your BI solutions - lakehouses, dataflows, pipelines.
• Use notebooks (PySpark/SQL) within Microsoft Fabric to inspect and perform light data transformations.
• Develop and work with Data Agents in Microsoft Fabric.
• Participate in the development and deployment of AI solutions.
• Collaborate with Data Engineers, BI Developers, Architects and other technical specialists.
• Participate in customer meetings and presales activities.
• Take ownership of technical solutions from design through implementation and deployment.
• Troubleshoot existing solutions and continuously look for ways to improve their performance, quality and usability.
• Share knowledge and contribute to the development of Data & AI best practices and capabilities within the team.
• Support and mentor less experienced team members. 

• 5+ years of experience in Data Engineering, BI, Data & Analytics or a similar technical role.
• Deep, hands-on experience with Power BI, including semantic model design and data modelling (star schema, relationships, calculation groups, etc.).
• Strong DAX skills - comfortable writing complex measures, not just basic aggregations.
• Solid working knowledge of SQL.
• Working familiarity with Microsoft Fabric (lakehouses, pipelines, notebooks).
• Comfortable navigating a PySpark notebook even without fluency - willing to read, adapt, and troubleshoot code.
• Hands-on experience developing Data Agents in Microsoft Fabric.
• Experience with deploying AI solutions in a business or customer environment.
• Ability to understand business needs and translate them into effective technical solutions.
• Customer-oriented mindset: you enjoy working directly with customers and focus on creating business value, not just delivering technical requirements.
• Strong sense of ownership and willingness to take responsibility for solutions and outcomes.
• Proactive approach: you identify problems and opportunities and recommend solutions.
• Experience working in an IT services or consulting environment.
• Experience in customer-facing roles and participating in presales activities.
• Good communication and stakeholder management skills.
• Good command of English (at least B2).

Nice to have

• The opportunity to work on international Data & AI projects and solve real business challenges for our customers.
• Hands-on work with the Microsoft Data & AI ecosystem, including Power BI and Microsoft Fabric.
• A role where you can combine technical expertise, customer advisory and solution design.
• A team of experienced technology professionals who value knowledge sharing and continuous learning.
• Opportunities to develop your skills through certifications, training and hands-on projects.
• Exposure to different customers, industries and business challenges.
• The opportunity to influence how we build and deliver our Data & AI solutions.
• A culture based on ownership, expertise, collaboration and customer focus.
• Opportunities for professional development (participation in training, conferences, mentoring, shadowing are just some of the tools that support our people’s growth).
• Work with the largest Microsoft partner in Poland.
• Stable employment in a company that has been in the market for over 30 years.
• Hybrid or remote work model.
• Non-corporate environment with focus on high level of collaboration among teams and team members.
• Focus on integration – we meet for joint trips, picnics, play board games at work, and organize group outings.
• Benefits package – Multisport card, private medical care, life insurance, subsidies for English classes. Plus, fresh fruit every Wednesday and ice cream treats on Thursdays during the summer months!