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Data Engineer with Databricks

  • Senior
  • Remote, 
  • Hybrid, 
  • Office
  • Multiple locations Show all

Technologies & tools

We are looking for an experienced Data Engineer to design and implement scalable Data Hubs supporting analytical, reporting, operational, and Generative AI use cases. This role involves ensuring data quality, governance, and system scalability while providing technical leadership and mentoring within the team.

Your tasks

  • Designing scalable Data Hubs that integrate multiple data sources, ensuring performance and scalability
  • Defining standards, patterns, and best practices for data engineering processes
  • Architecting batch and real-time data processing pipelines to meet analytical and operational requirements
  • Ensuring data quality, governance, and compliance across various data solutions
  • Optimizing performance, storage, and processing efficiency for large-scale data operations
  • Mentoring engineers, promoting best practices, and fostering knowledge sharing within the team

Requirements

  • Hands-on experience with Azure data services, including Data Factory, ADLS, Synapse, Azure SQL, and Event Hubs
  • Deep knowledge of Databricks and Apache Spark, with a strong focus on data processing and Delta Lake
  • Strong background in real-time and batch data processing, with expertise in handling streaming and large datasets
  • Practical experience in automation using CI/CD pipelines, Terraform, Kubernetes/AKS, and Docker
  • Skilled in data modeling and governance, with the ability to design secure, scalable, and reliable data architectures
  • Proven track record in defining architectural standards and mentoring technical teams
  • Fluent Polish required
  • Residing in Poland required

Job no. 250514-8N110

Technologies & tools

We are looking for an experienced Data Engineer to design and implement scalable Data Hubs supporting analytical, reporting, operational, and Generative AI use cases. This role involves ensuring data quality, governance, and system scalability while providing technical leadership and mentoring within the team.

Your tasks

  • Designing scalable Data Hubs that integrate multiple data sources, ensuring performance and scalability
  • Defining standards, patterns, and best practices for data engineering processes
  • Architecting batch and real-time data processing pipelines to meet analytical and operational requirements
  • Ensuring data quality, governance, and compliance across various data solutions
  • Optimizing performance, storage, and processing efficiency for large-scale data operations
  • Mentoring engineers, promoting best practices, and fostering knowledge sharing within the team

Requirements

  • Hands-on experience with Azure data services, including Data Factory, ADLS, Synapse, Azure SQL, and Event Hubs
  • Deep knowledge of Databricks and Apache Spark, with a strong focus on data processing and Delta Lake
  • Strong background in real-time and batch data processing, with expertise in handling streaming and large datasets
  • Practical experience in automation using CI/CD pipelines, Terraform, Kubernetes/AKS, and Docker
  • Skilled in data modeling and governance, with the ability to design secure, scalable, and reliable data architectures
  • Proven track record in defining architectural standards and mentoring technical teams
  • Fluent Polish required
  • Residing in Poland required

Job no. 250514-8N110

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Data Engineer with Databricks

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