Senior Data Engineer: Identity Mapping & AI Data Pipelines

Zoolatech; Fatih; In loco; TRY 400.000 - 800.000; Tempo pieno

Descrizione del lavoro

Zoolatech is seeking a Senior Data Engineer in Turkey to design scalable pipelines that reconcile customer identifiers from web, app, CRM, and marketing channels. You will build identity mapping, lead AI-assisted data cleanup, and enforce GDPR-compliant privacy and data retention from day one.

You’ll collaborate with backend engineers and analysts, contribute to data contracts, and help shape a new data team with modern tooling and standards.

Competenze

• 5+ years as a Data Engineer or similar role.
• Strong hands-on experience with PySpark/Apache Spark and SQL.
• Production experience with Databricks or similar systems.
• Experience with pipeline orchestration (e.g. Airflow).
• Solid understanding of data modelling, data quality and large-scale distributed data processing.
• Practical experience using AI/LLM tools to automate data engineering tasks.
• Experience with event streaming (Kafka or similar).
• Upper-Intermediate English or higher.

Mansioni

• Design and build scalable pipelines that ingest, normalise and reconcile customer identifiers from multiple sources.
• Develop identity mapping and stitching logic, for example anonymous-to-logged-in and cross-device.
• Lead data cleanup and migration of legacy identifier data, using AI-assisted automation to reduce manual effort.
• Define and implement data quality checks, validation rules and monitoring for identity data.
• Build in privacy, consent and data retention requirements (GDPR) from the start.
• Work closely with backend engineers, analysts and data consumers to define data contracts and downstream usability.
• Contribute to technical design, documentation and engineering standards in a newly forming team.

Conoscenze

PySpark

SQL

Databricks

Airflow

Data modelling

Data quality

AI/LLM tools

Kafka

Strumenti

Spark ecosystem

Descrizione del lavoro

Zoolatech is seeking a Senior Data Engineer in Turkey to design scalable pipelines that reconcile customer identifiers from web, app, CRM, and marketing channels. You will build identity mapping, lead AI-assisted data cleanup, and enforce GDPR-compliant privacy and data retention from day one.

You’ll collaborate with backend engineers and analysts, contribute to data contracts, and help shape a new data team with modern tooling and standards.