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Senior Data Engineer

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Oplog

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Location:
Turkey , Ankara

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for a highly experienced, talented, and self-starter Senior Data Engineer who will be responsible for designing and implementing scalable and robust data platforms and solutions using cutting-edge technologies.

Job Responsibility:

  • Design, maintain and optimize batch and streaming data pipelines using Databricks, Apache Spark, and Fivetran
  • Build and implement data models, products, and platforms with high quality using Databricks ecosystem and dbt for data transformation
  • Develop MLOps pipelines and AI-driven solutions to enhance our fulfillment operations and predictive analytics
  • Work with product management and product teams to build data-driven products, extract, interpret and present insights using Qlik
  • Contribute to the development of the analytical data warehouse and related big data ecosystem on AWS platform
  • Implement real-time data processing and streaming architectures using Databricks structured streaming
  • Build and maintain dbt models for data transformation and analytics engineering
  • Provide support to data analysts and data scientists for their data engineering and ML infrastructure requirements
  • End-to-end experience of software development lifecycle with focus on MLOps best practices

Requirements:

  • Bachelor/Master's degree in related engineering departments such as Computer Engineering, Software Engineering, or Data Science
  • 6+ years of professional experience in data engineering with a proven track record of delivering complex data solutions in a production environment
  • High proficiency in Python for data engineering, AI/ML development, and SQL
  • Experience with dbt (Data Build Tool) for data transformation and analytics engineering
  • Deep experience in AWS cloud services (S3, EMR, Glue, Lambda, EC2)
  • Extensive hands-on experience with Databricks platform and Apache Spark for large-scale data processing
  • Experience with Fivetran or similar ELT tools for data integration and pipeline automation
  • Proven experience building MLOps pipelines and deploying machine learning models in production using Databricks MLflow
  • Experience with data processing frameworks and tools such as RDBMS, NoSQL, and High Scale Databases
  • Proven experience building data pipelines using Databricks, Fivetran, and related modern data stack tools
  • Experience in real-time and streaming architectures using Databricks Structured Streaming and related technologies
  • Strong knowledge of Data Warehouse concepts and modern data lake architectures on AWS

Nice to have:

  • Familiarity with Qlik Sense/QlikView for business intelligence and data visualization
  • Advanced experience with dbt for complex data transformations and data modeling
  • Experience with Databricks Delta Lake for data lake management and ACID transactions
  • Experience with Databricks MLflow for machine learning lifecycle management
  • Knowledge of Apache Airflow or Databricks Workflows for orchestration
  • Experience with AWS data services and infrastructure
  • Experience with data governance and data quality frameworks within the Databricks ecosystem
  • Knowledge of containerization technologies (Docker, Kubernetes) for ML deployment
  • Experience with Databricks Unity Catalog for data governance and security
What we offer:
  • AI‑assisted coding & LLM licenses
  • Paid vacation in your first year
  • Birthday day off
  • Flexible hours & open kitchen
  • Private health insurance
  • Shuttle service or monthly gas card
  • Meal card
  • Learning budget
  • Massage Fridays
  • Unlimited fun at the office
  • Mac or PC
  • English courses

Additional Information:

Job Posted:
February 01, 2026

Employment Type:
Fulltime
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