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Open nowFirst seen 3 days ago

Data Engineer (Senior)

thehivecareers.co2,874 open roles

Where
Kingston, Jamaica, Remote
Work mode
Remote
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Your applicationOpen nowData Engineer (Senior)thehivecareers.co · Kingston, Jamaica, Remote

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on thehivecareers.co's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Job Title : Data Engineer (Senior)

Role Purpose

The Senior Data Engineer is responsible for designing, building, and maintaining scalable and reliable data pipelines and platforms that enable analytics, reporting, and data-driven decision-making across the organization.

Key Responsibilities

  • Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data
  • Optimize data storage, processing, and access to ensure performance, scalability, and reliability
  • Develop and maintain data models that support analytics, reporting, and downstream consumption
  • Collaborate closely with analytics, reporting, and business teams to understand data requirements
  • Ensure data quality, integrity, security, and compliance with governance and regulatory standards
  • Monitor, troubleshoot, and continuously improve data pipelines and platform performance
  • Contribute to data architecture standards, best practices, and technical documentation

Required Experience & Skills

  • Minimum 7+ years of experience in data engineering or related roles
  • Strong proficiency in SQL and Python; experience with distributed processing frameworks such as Spark
  • Hands-on experience with cloud data platforms and modern data architectures
  • Solid understanding of data modeling, data warehousing, and performance optimization techniques
  • Experience working in banking or other highly regulated environments
  • Strong problem-solving skills and ability to work independently in complex technical environments

Nice to Have

  • Experience with real-time or streaming data technologies (e.g., Kafka, Kinesis)
  • Familiarity with data governance, lineage, and metadata management tools
  • Experience with CI/CD pipelines, infrastructure as code, or DevOps practices for data platforms
  • Exposure to data visualization or BI tools and analytics workflows
  • Experience mentoring junior engineers or leading technical initiatives
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