Senior Data Engineer

New
R
RemoFirstData Engineering
Egypt. Spain. Tunisia. Poland. RomaniaContractSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
AWSPythonSQLAirflowdbtLLM

Requirements

  • 5+ years of hands-on experience in Data Engineering with proven delivery in production environments.
  • Strong expertise in building scalable data pipelines using Python and SQL.
  • Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar.
  • Strong experience with dimensional data modeling and semantic data models.
  • Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda.
  • Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring.
  • Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications.
  • Strong ownership mindset with the ability to thrive in a fast-paced startup environment.
  • Ability to translate evolving business, analytics and AI requirements into scalable data solutions.
  • Effective communicator who collaborates well across Data, AI, Product, and Engineering teams.

Responsibilities

  • Design, build and maintain scalable data pipelines using modern data engineering tools (e.g., dbt, Airflow, Prefect).
  • Develop and maintain dimensional and semantic data models to support analytics and operational use cases.
  • Build curated data products that support analytics and modern AI workloads.
  • Design data schemas and storage strategies optimized for both analytical and AI workloads.
  • Build and maintain version control workflows and isolated development/test environments.
  • Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.
  • Contribute to the architecture and evolution of the organization's modern data platform.
  • Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.
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