Remote Senior Data Engineer - Scalable Pipelines & ML

Placements24

Centurion

Hybrid

ZAR 1,050,000 - 1,400,000

Full time

14 days+
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Benefits offered by this job

Highly competitive salary
Fully remote position
Health and wellness benefits
Learning and development resources
Challenging data projects

Job summary

Placements24 is seeking a Senior Data Engineer to join a fully remote data team. You will design and maintain scalable data pipelines, data warehouses, and data lakes, enabling advanced analytics and ML initiatives across diverse sources.

The role requires strong SQL, Python/Scala, and experience with Spark, Hadoop, and cloud platforms like Redshift, BigQuery, or Data Lake services. Collaboration in a distributed environment is essential.

Qualifications

  • Bachelor's or Master's in a quantitative field.
  • 5+ years in data engineering or related role.
  • Strong SQL proficiency and data warehousing knowledge.
  • Programming in Python or Scala for pipelines.

Responsibilities

  • Design, build, and optimize scalable data pipelines for batch and real-time processing.
  • Develop and maintain data warehousing and data lake solutions.
  • Implement data quality frameworks and ensure data integrity.
  • Collaborate with data scientists and analysts across teams.
  • Optimize database performance and contribute to governance practices.

Skills

SQL proficiency
Python/Scala programming
Data pipeline design
Big data concepts

Education

Bachelor's or Master's degree in Computer Science or Statistics

Tools

SQL
Python
Scala
Spark
Hadoop
AWS Redshift
GCP BigQuery
Azure Data Lake
ETL/ELT tools

Job description

Placements24 is seeking a Senior Data Engineer to join a fully remote data team. You will design and maintain scalable data pipelines, data warehouses, and data lakes, enabling advanced analytics and ML initiatives across diverse sources.

The role requires strong SQL, Python/Scala, and experience with Spark, Hadoop, and cloud platforms like Redshift, BigQuery, or Data Lake services. Collaboration in a distributed environment is essential.

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