Senior Data Engineer (Turkey) - Cloud Pipelines & Analytics

Zoolatech; Fatih; On-site; TRY 4,449,000 - 5,932,000; Full time

Job summary

Zoolatech seeks a Senior Data Engineer for an initial 6-month project with extension potential, joining our data team to build cloud-based data pipelines and lakehouse solutions for the construction platform.

You will own end-to-end ingestion and transformation, ensure data quality and governance, collaborate with data scientists, platform and product teams, and enforce CI/CD, GitHub, and AWS best practices.

Qualifications

• 8+ years hands-on data engineering experience.
• Strong Python and SQL.
• Airflow or similar orchestration tool.
• Hands-on with a major cloud platform, ideally AWS (S3, IAM, networking basics).
• Strong software engineering practices: GitHub, CI/CD and code reviews.
• Hands-on production experience in data modeling, backfills and data quality.

Responsibilities

• Designing and maintaining scalable ingestion and transformation pipelines on Databricks, with jobs defined as code and deployed through CI/CD.
• Owning end-to-end pipelines, including usage and business metrics pipelines and large-scale historical backfills across several data domains.
• Consolidating and standardizing pipeline and job definitions into shared, reusable frameworks.
• Supporting customer-health and usage analytics with reliable, well-modelled data.
• Managing access, permissions and monitoring so that data is secure and issues are caught early.
• Working with data science, platform and product teams to turn requirements into production-grade data products.

Skills

Python

SQL

Airflow

AWS

CI/CD

GitHub

Data modeling

Backfills

Data quality

Databricks

Tools

Databricks

Job description

Zoolatech seeks a Senior Data Engineer for an initial 6-month project with extension potential, joining our data team to build cloud-based data pipelines and lakehouse solutions for the construction platform.

You will own end-to-end ingestion and transformation, ensure data quality and governance, collaborate with data scientists, platform and product teams, and enforce CI/CD, GitHub, and AWS best practices.