Hybrid Senior Data Engineer

Posted 10 hours ago

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About the role

  • Senior Data Engineer designing and building robust data solutions for analytics at Mindera. Collaborating with cross-functional teams to deliver high-quality data products.

Responsibilities

  • Design, build, and maintain scalable data pipelines and data models to support analytics and machine learning use cases
  • Develop and optimize data platforms for both batch and real-time data processing
  • Work with large-scale datasets to transform raw data into meaningful, high-quality datasets
  • Build and manage cloud-native data solutions (primarily on AWS or similar platforms)
  • Implement best practices for data quality, monitoring, and reliability
  • Contribute to CI/CD pipelines to automate testing, deployment, and data workflows
  • Collaborate with cross-functional teams to enable self-service analytics and data-driven decision-making

Requirements

  • Strong hands-on experience in Python and SQL
  • Proven experience in building data pipelines for analytics and ML workloads
  • Strong understanding of data modelling, data warehousing, and data lakes
  • Hands-on experience with tools like Spark, Airflow, DBT, or similar
  • Experience working with cloud platforms (AWS preferred)
  • Familiarity with modern data formats such as Parquet, Iceberg
  • Experience with both batch and real-time data processing
  • Knowledge of CI/CD practices (Jenkins, GitHub Actions)
  • Experience with Infrastructure as Code (Terraform) and containerization (Docker)
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment

Benefits

  • Flexible working hours (self-managed)
  • Competitive salary
  • Annual bonus, subject to company performance
  • Access to Udemy online training and opportunities to learn and grow within the role

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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