Senior Data & AI Engineer
APN Promise S.A.
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B2B
Senior
Warszawa
Expires Oct 11, 2026
7 days ago
In short
Senior Data & AI Engineer role at APN Promise S.
A. in Warsaw. Responsibilities include designing Data & AI solutions, developing Power BI semantic models and reports, using SQL and Microsoft Fabric (lakehouses, notebooks, pipelines). Requires 5+ years of experience, strong Power BI, DAX, SQL, and Microsoft Fabric skills. Full-time, B2B contract.
AI-written summary based on the listing content.
Technologies we use
About the project
Your responsibilities
- 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.
Our requirements
- 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).
Optional
- Hands-on PySpark development experience.
- Microsoft certifications related to Power BI, Fabric, Azure or AI.
- Experience mentoring other engineers or taking technical leadership of solutions.
What we offer
- 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!
Benefits
| Published | 2026-09-11 |
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