(Senior) Data Engineer

Impossible Labs Inc.

Fatih

On-site

TRY 500,000 - 700,000

Full time

4 days ago

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Benefits offered by this job

Competitive salary

Flexible work environment

Modern hardware

Cutting-edge cloud data tech

Job summary

Impossible Labs Inc. in Istanbul, Turkey, is seeking a Data Engineer to design, build, and maintain scalable data pipelines and data warehouses to support analytics and decision-making across the organization.

The role collaborates with data analysts, engineers, and business stakeholders to ensure reliable, well-modeled data infrastructure. The position offers a modern data engineering environment with cutting-edge cloud technologies and flexibility.

Qualifications

Proficiency in English at C1 level (written and spoken).
Hands-on experience with Snowflake and dbt.
Experience with Azure or other cloud platforms (AWS, GCP).
Strong knowledge of Data Vault and Star Schema data modeling.
Proven track record building and maintaining production data pipelines.

Responsibilities

Design, build, and maintain scalable data pipelines and warehouse architectures that power analytics and decision-making across the organization.

Skills

Snowflake

dbt

Azure

Data Vault

Star Schema

ELT/ETL

Data Modeling

Production Pipelines

English C1

Tools

dbt

Snowflake

Job description

Data Engineer (m/f/d) — Istanbul, Turkey

We are looking for a Data Engineer to join our team in Istanbul, working on modern cloud data infrastructure and analytics pipelines. We are a Technology Consulting firm with international clients, mostly from Europe.

About the Role

As a Data Engineer, you will design, build, and maintain scalable data pipelines and warehouse architectures that power analytics and decision-making across the organization. You'll work closely with data analysts, engineers, and business stakeholders to ensure our data infrastructure is reliable, well-modeled, and easy to consume.

Responsibilities

You will design and implement ELT/ETL pipelines using dbt and Snowflake, build and maintain data models following Data Vault and Star Schema methodologies, manage cloud data infrastructure on Azure (or comparable cloud platforms), collaborate with cross-functional teams to translate business requirements into robust data solutions, monitor and optimize data pipeline performance and reliability, and contribute to documentation and best practices for data architecture and governance.

Must-Have Qualifications