Senior Data Engineer

4 Days ago • 5 Years +

Job Summary

Job Description

As Roof Stacks, we have been carrying out innovative projects since 2015. We aim to become a global actor in Tourism Systems, Extended Reality(AR/VR), Blockchain Technologies, Game Development, and Financial Technology, which are our areas of expertise. We focus on creating a difference with the technologies we develop and designing the future. We are looking for a Senior Data Engineer to design and optimize our modern data infrastructure on Google Cloud Platform (GCP). The role involves designing and implementing scalable data pipelines, optimizing ETL/ELT processes, collaborating with teams to deliver clean data, and ensuring data quality and governance.

Must have:

5+ years of experience in data engineering on GCP.
Expertise in Google BigQuery: partitioning, clustering, optimization.
Strong command of SQL, including CTEs and window functions.
2+ years of hands-on experience with dbt or Google Dataform.
Solid background in data modeling (dimensional/star/snowflake schemas)
Strong Python skills for building custom tools and automation.

6 skills required

6 skills required for this role

Add these skills to join the top 1% applicants for this job

firebase

python

sql

google-cloud-platform

postgresql

team-management

Job Details

As Roof Stacks, we have been carrying out innovative projects since 2015. We aim to become a global actor in Tourism Systems, Extended Reality(AR/VR), Blockchain Technologies, Game Development, and Financial Technology, which are our areas of expertise. We focus on creating a difference with the technologies we develop and designing the future. In addition to our central office in Ataşehir/İstanbul, we have branches in Antalya and Elazığ in Turkey. We have strengthened our position in the global market by opening a new office in Austin, USA, which hosts world technology giants from all over the world. Are you passionate about building robust, scalable, and cloud-native data platforms? We’re looking for a Senior Data Engineer to join our team and take ownership of designing and optimizing our modern data infrastructure on Google Cloud Platform (GCP). About Role -Design and implement scalable data pipelines using BigQuery, dbt / Dataform, and Apache Airflow -Own and optimize ETL/ELT processes for structured and semi-structured data -Collaborate with analytics and product teams to deliver clean, modeled data ready for decision-making -Ensure data quality, versioning, lineage, and governance best practices are in place -Integrate diverse data sources including PostgreSQL, Firebase, external APIs, and real-time streams via Pub/Sub and DataStream Qualifications -Bachelor’s degree in Computer Engineering, Software Engineering, or a related field -5+ years of experience in data engineering, including 3+ years building cloud-native- platforms on GCP -Deep expertise in Google BigQuery: partitioning, clustering, optimization, and cost control -Strong command of SQL, including CTEs, window functions, and performance tuning -2+ years of hands-on experience with dbt or Google Dataform -Solid background in data modeling (dimensional/star/snowflake schemas) -Knowledge of incremental data loading, backfill strategies, and dependency handling -Strong Python skills for building custom tools, operators, and automation -Experience with Apache Airflow (self-hosted or Cloud Composer) -Familiarity with data quality testing, schema evolution, and source-to-target mapping -Clear understanding of data governance, including versioning and lineage tracking