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Microsoft PowerBI Developer (Backend)

Roles & Responsibilities

  • 5+ years of professional experience dedicated to the Microsoft Power BI ecosystem.
  • Proven ability to write advanced DAX, manage filter context, and optimize large datasets.
  • Practical experience using Python (Pandas/NumPy) for data manipulation or ETL tasks beyond standard Power Query.
  • Strong SQL skills for querying, joining, and validating data at the source.

Requirements:

  • Dashboard Development: Build and maintain multi-level Power BI dashboards using reusable templates to ensure a fast, consistent rollout.
  • Engine Room: Write complex DAX measures and develop robust data models (Star/Snowflake schemas) that remain performant as data scales.
  • Data Wrangling: Leverage Power Query and Python to automate data cleaning and transformation, reducing manual work and increasing reliability.
  • Connectivity: Build and manage data integrations across various sources, including SQL databases, REST APIs, and MS Office/SharePoint files.

Job description

About Virtido

Virtido is an entrepreneurial and innovative IT company headquartered in Zurich, Switzerland. We realize ideas and projects - from strategic concept to technical implementation closely alongside our dynamic clients with a strong focus on start-up or fast-growing companies. Since inception in 2015, we have grown rapidly to currently 140+ professionals in Switzerland, Poland, Ukraine and the Philippines.

About the client

Our Client is a leading data-driven customer experience management company that specializes in the delivery of unique, personalized customer experiences across platforms and devices. The company works with 12,000+ employees worldwide and has offices in Switzerland, Germany and Austria as well as locations in the Czech Republic, Serbia and Portugal.

About the role

We are looking for a hands-on Power BI expert to own the end-to-end development of our analytics portal. You will be the technical engine behind our data delivery—transforming raw data into high-impact, intuitive dashboards that our leadership relies on to make critical decisions.

Responsibilities


- Dashboard Development: Build and maintain multi-level Power BI dashboards using reusable templates to ensure a fast, consistent rollout. 

- The 'Engine Room': Write complex DAX measures and develop robust data models (Star/Snowflake schemas) that remain performant as data scales. 

- Data Wrangling: Leverage Power Query and Python to automate data cleaning and transformation, reducing manual work and increasing reliability. 

- Connectivity: Build and manage data integrations across various sources, including SQL databases, REST APIs, and MS Office/SharePoint files. 

- Portal Management: Oversee the Power BI workspace, manage user permissions, and ensure datasets are refreshed, documented, and accurate. 

- Quality & Standards: Ensure every dashboard follows standards and UX best practices—it needs to be as easy to use as it is accurate. 

- Agile Execution: Work in iterative cycles, delivering value quickly and refining based on stakeholder feedback in an Agile mindset.

Requirements

- 5+ years of professional experience dedicated to the Microsoft Power BI ecosystem.

- Proven ability to handle the 'plumbing' of BI—writing advanced DAX, managing filter context, and optimizing large datasets.

- Practical experience using Python (Pandas/NumPy) for data manipulation or ETL tasks that go beyond standard Power Query capabilities.

- Strong SQL skills for querying, joining, and validating data at the source.

- Familiarity with PMO metrics or working within financial frameworks (reporting on health, schedule, and budget).

- A portfolio or examples of work showing a 'user-first' approach—clean layouts, intuitive navigation, and consistent branding.

- Reading, speaking, and writing proficiency in English (B2+)

Technical Toolkit :
- Power BI Mastery: You know DAX and Power Query inside out.
- Coding: Proficient in Python for data automation and scripting.
- Database: Comfortable writing SQL to pull and join data.
- Mindset: An Agile approach—you prefer shipping iterative updates over waiting for 'perfection.'

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