Azure Data & Analytics Engineer - Power BI & Pipelines

Monovi Information Technology A.S.; Urla; On-site; TRY 350,000 - 500,000; Full time

Job summary

Monovi Information Technology A.S. in Izmir is seeking an Azure Data & Analytics Engineer to design, implement, and maintain scalable data pipelines using Azure technologies and to create Power BI dashboards for insight delivery.

You'll work on data modeling, ETL, data warehousing, and data analytics, collaborating with cross-functional teams to ensure data quality, performance, and security, while communicating findings to stakeholders.

Qualifications

• Experience in data engineering and data modeling.
• Proficiency with ETL processes.
• Knowledge of data analytics and Power BI.
• Familiarity with Azure cloud data solutions.
• Bachelor's degree in CS/IT or related field.
• Strong communication and stakeholder-facing skills.
• Working English proficiency (C1).

Responsibilities

• Building reports using Power BI.
• Developing and testing automated flows on Azure Power Automate.
• Developing dashboards and reports to communicate data insights to stakeholders.
• Designing high-performance semantic layers with Power BI data modeling (Tabular), DAX, and Power Query (M).
• Managing data source integrations (SQL, API, Excel/SharePoint), gateway/refresh plans, and RLS/OLS security configurations.
• Implementing design principles, usability, and storytelling standards for enterprise reports and dashboards.
• Conduct ad-hoc data analysis to identify patterns and provide recommendations.
• Collect, clean, and analyze data from various sources to generate insights and growth opportunities.

Skills

Data Engineering

Data Modeling

ETL

Data Analytics

Power BI

Azure

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Lake

Databricks

Microsoft Fabric

Synapse Analytics

MSSQL

Job description

Monovi Information Technology A.S. in Izmir is seeking an Azure Data & Analytics Engineer to design, implement, and maintain scalable data pipelines using Azure technologies and to create Power BI dashboards for insight delivery.

You'll work on data modeling, ETL, data warehousing, and data analytics, collaborating with cross-functional teams to ensure data quality, performance, and security, while communicating findings to stakeholders.