Data & Analytics Engineer
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Summary
A data & analytics engineer in İzmir who designs, builds, and maintains scalable Azure data pipelines and data warehouses, then turns that data into Power BI dashboards and semantic models (DAX, Power Query, RLS/OLS) for business stakeholders, plus ad-hoc statistical analysis.
Role Description
This is a full-time role for an Azure Data & Analytics Engineer located in İzmir. The role will be responsible for designing, implementing, and maintaining scalable data pipelines using Azure technologies and creating Power BI dashboards. Day-to-day tasks include data modeling, ETL processes, data warehousing, and data analytics. The engineer will work closely with other teams to ensure data integrity, performance, and security.
Qualifications
- Preferably, skills in Data Engineering and Data Modeling
- Proficiency in Extract Transform Load (ETL) processes
- Knowledge of Data Analytics, Power BI
- Familiarity with Azure and cloud-based data solutions is a plus
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Strong communication, requirements gathering, and solution design skills with business stakeholders
- Working English proficiency; presentation and documentation skills
Candidate must have;
- Developed applications using Microsoft Power Apps or built reports using Power BI.
- Experienced in big data management, preferably using Azure services such as Azure Data Lake, Data Bricks Microsoft Fabric or Synapse Analytics.
- Experience using MSSQL (serverless SQL).
- Professional level proficiency in English (C1 and higher).
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
Also candidate will be responsible for;
- Conduct ad-hoc data analysis (statistical analysis and modeling) to identify patterns and correlations in the data and deep dives to answer business questions and provide recommendations.
- Collect, clean, and analyze data from various sources, including internal and external databases, to generate insights and identify growth opportunities.