AI & Data Solutions Lead (GCP)
⚲ Warszawa
32 550 - 35 700 PLN (B2B)
Wymagania
- ETL
- AI
- Google Cloud
- Python
- Power Automate
- Power BI
- Data visualization
- Project management
- Lean Six Sigma (nice to have)
Opis stanowiska
O projekcie:
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
We are seeking a Technical Solutions Lead to design and deliver cutting-edge agentic AI solutions leveraging Google Cloud’s Vertex AI / Gemini Enterprise Agent Platform. This is a hands-on, senior technical position that combines architectural leadership, solution engineering, and stakeholder engagement to deliver automation, analytics, and AI-first solutions with high business impact.
You will lead projects from discovery to implementation, collaborating with Finance, IT, and Data teams to create scalable workflows, build AI agents, and optimize enterprise processes with automation and analytics.
Sounds like your kind of challenge?
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.)
- Hybrid work setup – remote days available depending on the client’s arrangements (2 days per week from the Warsaw office)
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Wymagania:
Experience & Technical Knowledge:
- 2–3 years in dimensional modeling, semantic layers, and modern ELT/ETL patterns.
- Strong experience in building AI agents on Google Cloud (Vertex AI, Gemini Enterprise Agent) with evaluation and monitoring.
- Proficiency in Python for data/AI development and C#.NET for automation.
- Familiarity with workflow automation platforms (Power Automate, Copilot Studio), dashboards (Power BI/Tableau), and APIs.
- Strong understanding of finance domain processes and controls.
Skills & Competencies:
- Data visualization & storytelling expertise.
- Strong project management and stakeholder engagement capabilities.
- Ability to bridge Finance and AI delivery, applying an AI-First approach.
Nice-to-Have:
- Google Professional ML Engineer Certification.
- Lean Six Sigma Green Belt.
- Experience with international finance and multi-entity environments.
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- Design, develop, and deploy AI agents using Vertex AI and Gemini Enterprise capabilities (agent frameworks, managed runtimes).
- Build automation tools and scalable services using Python and C#.NET, applying engineering best practices.
- Develop smaller automations using Power Automate and Copilot Studio.
- Architect data pipelines and semantic layers, ensuring a single source of truth for analytics and AI use cases.
- Write and optimize SQL on platforms like BigQuery and deliver governed datasets for reporting and AI workflows.
- Build interactive dashboards with Power BI or Tableau supported by a governed semantic layer.
- Translate Finance processes and requirements (AP, AR, GL, Treasury, Intercompany) into technical designs and AI-driven workflows.
- Lead requirements gathering and solution design sessions with finance and IT stakeholders.
- Communicate technical trade-offs and architecture decisions clearly to both technical and non-technical teams.
- Manage delivery plans, risks, and milestones with predictability.
- Own production readiness and ongoing monitoring for AI agents and reporting solutions.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
We are seeking a Technical Solutions Lead to design and deliver cutting-edge agentic AI solutions leveraging Google Cloud’s Vertex AI / Gemini Enterprise Agent Platform. This is a hands-on, senior technical position that combines architectural leadership, solution engineering, and stakeholder engagement to deliver automation, analytics, and AI-first solutions with high business impact.
You will lead projects from discovery to implementation, collaborating with Finance, IT, and Data teams to create scalable workflows, build AI agents, and optimize enterprise processes with automation and analytics.
Sounds like your kind of challenge?
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.)
- Hybrid work setup – remote days available depending on the client’s arrangements (2 days per week from the Warsaw office)
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Wymagania:
Experience & Technical Knowledge:
- 2–3 years in dimensional modeling, semantic layers, and modern ELT/ETL patterns.
- Strong experience in building AI agents on Google Cloud (Vertex AI, Gemini Enterprise Agent) with evaluation and monitoring.
- Proficiency in Python for data/AI development and C#.NET for automation.
- Familiarity with workflow automation platforms (Power Automate, Copilot Studio), dashboards (Power BI/Tableau), and APIs.
- Strong understanding of finance domain processes and controls.
Skills & Competencies:
- Data visualization & storytelling expertise.
- Strong project management and stakeholder engagement capabilities.
- Ability to bridge Finance and AI delivery, applying an AI-First approach.
Nice-to-Have:
- Google Professional ML Engineer Certification.
- Lean Six Sigma Green Belt.
- Experience with international finance and multi-entity environments.
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- Design, develop, and deploy AI agents using Vertex AI and Gemini Enterprise capabilities (agent frameworks, managed runtimes).
- Build automation tools and scalable services using Python and C#.NET, applying engineering best practices.
- Develop smaller automations using Power Automate and Copilot Studio.
- Architect data pipelines and semantic layers, ensuring a single source of truth for analytics and AI use cases.
- Write and optimize SQL on platforms like BigQuery and deliver governed datasets for reporting and AI workflows.
- Build interactive dashboards with Power BI or Tableau supported by a governed semantic layer.
- Translate Finance processes and requirements (AP, AR, GL, Treasury, Intercompany) into technical designs and AI-driven workflows.
- Lead requirements gathering and solution design sessions with finance and IT stakeholders.
- Communicate technical trade-offs and architecture decisions clearly to both technical and non-technical teams.
- Manage delivery plans, risks, and milestones with predictability.
- Own production readiness and ongoing monitoring for AI agents and reporting solutions.
🔍 Dekoder Ogłoszenia
🔴
design and deliver cutting-edge agentic AI solutions leveraging Google Cloud’s Vertex AI / Gemini Enterprise Agent Platform
Oczekuje się, że będziesz aktywnie projektować i wdrażać rozwiązania AI, a nie tylko nadzorować.
🔴
This is a hands-on, senior technical position
Pomimo roli 'Lead', będziesz musiał dużo pracować technicznie, a nie tylko zarządzać.
🔴
collaborating with Finance, IT, and Data teams
Może oznaczać konieczność częstego angażowania się w procesy i komunikację z różnymi działami, co może być czasochłonne.
🔴
Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Choć brzmi to elastycznie, często oznacza preferencję pracodawcy dla modelu B2B ze względu na niższe koszty.
🔴
Hybrid work setup – remote days available depending on the client’s arrangements (2 days per week from the Warsaw office)
Elastyczność pracy zdalnej jest ograniczona i zależy od wymagań klienta, co może oznaczać mniej dni zdalnych niż oczekiwano.