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Zoolatech Logo Zoolatech · IT - Software Development

Senior Data Engineer

Turkey, Istanbul · Job Posted January 04, 2026
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Job Description

Our client is a global jewelry manufacturer undergoing a major transformation, moving from IaaS-based solutions to a modern Azure PaaS data platform. As part of this journey, you will design and implement scalable, reusable, and high-quality data products using technologies such as Data Factory, Data Lake, Synapse, and Databricks. These solutions will enable advanced analytics, reporting, and data-driven decision-making across the organization. By collaborating with product owners, architects, and business stakeholders, you will play a key role in maximizing the value of data and driving measurable commercial impact worldwide.

Job Responsibility

  • Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform
  • Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models
  • Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies
  • Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance
  • Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions
  • Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits
  • Promote a “build-once, consume-many” approach to maximize reuse and value creation across business verticals
  • Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering

Requirements

  • 5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server
  • Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes
  • Practical experience with Azure Data Factory, Databricks, and PySpark
  • Track record of designing, building, and delivering production-ready data products at enterprise scale
  • Strong analytical skills and ability to translate business requirements into technical solutions
  • Excellent communication skills in English, with the ability to adapt technical details for different audiences
  • Experience working in Agile/Scrum teams

Nice to have

  • Familiarity with infrastructure tools such as Kubernetes and Helm
  • Experience with Kafka
  • Experience with DevOps and CI/CD pipelines

What we offer

  • Paid Vacation
  • Hybrid Work (home/office)
  • Sick Days
  • Sport/Insurance Compensation
  • Holidays Day Off
  • English Classes
  • Training Compensation
  • Transportation compensation
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