Data Engineer

Trendify Data & AI; Fatih; On-site; TRY 200,000 - 300,000; Full time

Benefits offered by this job

Education Budget

Private Health Insurance

Meal Card

Gift Cards & Bonuses

Paid Time Off

Welfare Benefits

Job summary

Trendify Analytics is seeking a Data Engineer to turn raw data into actionable insights. You will build scalable data pipelines using Microsoft Fabric and Azure Data Factory, design data models, and support enterprise analytics across business units.

The ideal candidate has 2+ years of experience, strong SQL and ETL skills, and a solid grasp of data warehouse concepts. Join us in Istanbul to drive data-driven decisions with modern analytics.

Qualifications

• Bachelor’s degree in a data-centric field such as computer engineering or applied mathematics.
• At least 2+ years building complex data products.
• Strong SQL skills and experience with data integration tools.
• Solid understanding of data warehouse modeling and ETL tools (SSIS, Azure Data Factory).
• Hands-on experience with Microsoft Fabric and related data platform tech.
• Experience with Data Lake and Data Warehouse architectures and SSAS (Multidimensional/Tabular).
• Proficiency in SQL, PySpark and Python for data transformation and analytics.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Responsibilities

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

Skills

SQL

PySpark

Python

Data warehousing

ETL design

Data modeling

Data integration

Communication

Education

Degree in Computer Engineering / Applied Mathematics

Tools

Azure Data Factory

SSIS

Microsoft Fabric

MS SQL Server

SSAS Multidimensional

Tabular Model

Job description

Are you a data whiz with a passion for turning raw information into actionable insights?

We are looking for our new “Data Engineer” Trendify Analytics; With the motto From Raw Data to Actionable Insight, it is a technology development company. In a short time, we started to play a role in establishing data platforms and developing analytical solutions with our reference customers.

Trendify Analytics lives by the motto "From Raw Data to Actionable Insight." We empower businesses to leverage their data and make data-driven decisions. We've quickly gained recognition for our expertise in building data platforms and developing analytical solutions.

Qualifications:

• You hold a degree in a data-centric field like Computer Engineering, Applied Mathematics, or a similar area.
• You have 2+ years of experience building complex data products.
• You're a whiz with SQL and comfortable with data integration tools.
• You have a strong understanding of data warehouse modeling and ETL tools like SSIS and Azure Data Factory.
• You have hands-on experience with Microsoft Fabric and are familiar with its data engineering ecosystem.
• You have experience working with Data Lake and Data Warehouse architectures in modern analytics platforms.
• You're familiar with SSAS Multidimensional and Tabular Model Development.
• You possess a deep knowledge of database tables and relational architecture.
• You have experience implementing solutions on MS SQL Server.
• You have strong proficiency in SQL, PySpark, and Python for data transformation and analytics.
• You excel at communicating complex technical concepts to non-technical stakeholders.

Responsibilities:

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

What We Offer:

• Education Budget: We invest in your growth! We provide ample opportunities for professional development.
• Comprehensive Health Insurance: Your well-being matters. We offer private health insurance with extensive coverage.
• Meal Card: Enjoy the convenience of a Multinet card for your meals.
• Gift Cards & Bonuses: We celebrate with you! Receive gift cards or bonuses for special occasions.
• Paid Time Off: We offer comprehensive leave options, including compassionate leave, holidays, birthday leave, sick leave, and annual leave (after your first year).
• Welfare Benefits: We share in your joys! We provide compensation for special events like marriage and childbirth.

Join Trendify Analytics and embark on a rewarding career where you can make a real impact through the power of data!