Data Engineer: Scalable Pipelines & Insights

Trendify Data & AI; Fatih; On-site; TRY 240,000 - 360,000; Full time

Benefits offered by this job

Education Budget

Comprehensive Health Insurance

Meal Card

Gift Cards & Bonuses

Paid Time Off

Welfare Benefits

Job summary

Trendify Analytics seeks a Data Engineer to turn raw data into actionable insights. You will build data platforms and analytical solutions using Microsoft Fabric, Azure Data Factory, SQL, PySpark and Python, collaborating with cross-functional teams.

The role focuses on data modelling, ETL design, data lake and data warehouse architectures, and delivering scalable pipelines. You will join a fast-growing tech company that values learning, compensation, and a strong health benefits package.

Qualifications

• Degree in a data-centric field such as Computer Engineering or Applied Mathematics.
• 2+ years of experience building complex data products.
• Strong SQL skills and data integration experience.
• Knowledge of data warehouse modeling and ETL with SSIS and Azure Data Factory.
• Hands-on with Microsoft Fabric and familiarity with its data engineering ecosystem.
• Experience with Data Lake and Data Warehouse architectures in modern analytics platforms.
• Familiarity with SSAS Multidimensional and Tabular Model Development.
• Deep knowledge of database tables and relational architecture.
• Experience implementing solutions on MS SQL Server.
• Strong SQL, PySpark, and Python for data transformation and analytics.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Responsibilities

• Utilize BI technologies to construct data models aligned with business strategy.
• Analyze data sources across units to create essential reports and datasets.
• Manage and tailor ETL processes to meet business needs while optimizing them.
• Design data models for transformation, quality, metadata management, reporting, and analytics.
• Develop and maintain scalable data pipelines using Microsoft Fabric and Azure Data Factory.
• Build and optimize Data Lake and Data Warehouse solutions for enterprise reporting.
• Develop data transformation processes using SQL, PySpark, and Python.
• Collaborate with cross-functional teams to implement modern data engineering best practices.

Skills

SQL

PySpark

Python

Data modeling

ETL tools

Microsoft Fabric

Azure Data Factory

SSIS

Data warehousing

Data transformation

Communication

Education

Degree in Computer Engineering / Applied Mathematics or similar

Tools

SSIS

Azure Data Factory

Microsoft Fabric

Job description

Trendify Analytics seeks a Data Engineer to turn raw data into actionable insights. You will build data platforms and analytical solutions using Microsoft Fabric, Azure Data Factory, SQL, PySpark and Python, collaborating with cross-functional teams.

The role focuses on data modelling, ETL design, data lake and data warehouse architectures, and delivering scalable pipelines. You will join a fast-growing tech company that values learning, compensation, and a strong health benefits package.