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Senior Engineer - Data Engineering

7 days ago 2026/10/01
Other Business Support Services
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Job description

Key Responsibilities
  • Contribute to the design and development of scalable data pipelines and a growing data lake
  • Build and extend data processing workflows using Python, Apache Spark, and Databricks
  • Define technical standards, best practices, and reusable frameworks for data engineering
  • Ensure data quality, reliability, performance, and maintainability across data solutions
  • Support data modeling, data integration, and transformation processes for analytics and reporting
  • Drive automation, monitoring, and CI/CD improvements to ensure operational excellence
  • Collaborate across teams, acting as a technical interface between the data platform and engineering, analytics, and business stakeholders.
  • Contribute to architecture decisions and long-term data platform strategy

Your Profile
  • Outstanding programming experience, preferably in Python; ability to write clean, testable, production-grade code; able to write clean, testable, production-grade code
  • Strong SQL skills and familiarity with structured and semi-structured data formats (JSON, Protobuf, Delta  format)
  • Hands-on experience with Apache Spark, ideally on Databricks, and understanding of the medallion architecture
  • Solid grasp of data lakehouse principles, data modeling, and data governance concepts
  • Experience building and maintaining CI/CD pipelines (e.g. GitLab CI); familiarity with IaC and deployment
  • Cloud Platforms: Experience with AWS or comparable cloud providers; familiarity with Databricks as a managed Lakehouse platform
  • Experience with event-driven architectures or streaming platforms (e.g. Kafka)
  • Proven track record deploying, monitoring, and maintaining data pipelines and services in
      production environments; experience with testing practices 
  • Able to work autonomously and take ownership of tasks end-to-end
  • Clear and concise communicator — comfortable working across engineering and data teams

Education & experieance
  • Bachelor's degree in Software Engineering, Mathematics, Physics, or a related field
  • 3 years of project/coding experience in a company
  • Cloud experience:
    • Databricks, AWS/Azure
    • Staging, testing, Git, pipelines
    • Distributed systems, data pipelines
  • Python experience:
    • Versioning, package management, requirements/environments
    • Change data capture
  • Data engineering experience:
    • SQL
    • Partitioning
    • Data structures (tables, relations)
    • Lakehouse
This job post has been translated by AI and may contain minor differences or errors.
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