Senior Data Engineer: Power BI & Azure Analytics

Akkodis; Hoofddorp; Hybrid; EUR 45,000 - 59,000; Full time

Job summary

Akkodis is seeking a Data Engineer to design and deliver end-to-end data and analytics solutions in a complex enterprise environment. You will build scalable data models, create Power BI dashboards, and transform data into actionable business insights.

You will collaborate with business stakeholders and technical teams, improve Azure data services and pipelines, and help drive reliable, high-quality data for informed decisions. Hybrid work with growth opportunities.

Qualifications

• Bachelor's or Master's degree in a relevant field.
• 5+ years of data engineering or analytics experience.
• Strong command of Power BI, DAX, and Power Query.
• Experience with Azure data services and pipelines.
• Understanding of dimensional data modelling.
• Proficiency in SQL and Python.
• Proven ability to deliver data and analytics solutions.
• Turn business requirements into data solutions.
• Familiarity with CI/CD and version control.

Responsibilities

• Design end-to-end data and analytics solutions.
• Develop Power BI dashboards and reports.
• Build Power Query and DAX models.
• Analyze complex datasets for actionable insights.
• Translate business requirements into data solutions.
• Improve Azure data services and pipelines.
• Ensure data quality and governance.
• Collaborate with business and Agile teams.
• Optimize reporting and analytics capabilities.

Skills

Power BI

DAX

Power Query

SQL

Python

CI/CD

version control

Data modelling

Education

Bachelor's or Master's degree in a relevant field

Tools

Azure data services

Job description

Akkodis is seeking a Data Engineer to design and deliver end-to-end data and analytics solutions in a complex enterprise environment. You will build scalable data models, create Power BI dashboards, and transform data into actionable business insights.

You will collaborate with business stakeholders and technical teams, improve Azure data services and pipelines, and help drive reliable, high-quality data for informed decisions. Hybrid work with growth opportunities.