Data Engineer (Remote)

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Health insurance

Remote work flexibility

Professional growth opportunities

Performance bonuses

Job summary

Placements24 is seeking a Data Engineer for a fully remote, international team. You will design and maintain robust data pipelines, support analytics, and ensure data quality across cloud platforms including AWS, Azure, and GCP. Collaboration with data scientists and analysts is essential.

Ideal candidates have 3+ years in data engineering, strong SQL and Python or Scala skills, and hands-on experience with data warehousing, data lakes, and big data technologies such as Spark and Kafka.

Qualifications

• Bachelor's degree in a quantitative field.
• 3+ years in data engineering or related roles.
• Proficiency in SQL and Python or Scala.
• Hands-on cloud data services experience (AWS/Azure/GCP).
• Experience with Spark, Hadoop, Kafka and ETL/ELT.
• Strong data modeling and DB design skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT.
• Develop data warehousing and data lakes to support analytics.
• Ensure data quality, integrity, and security across systems.
• Collaborate with data scientists and analysts to understand data needs.
• Manage data infrastructure using cloud platforms and big data tech.
• Monitor performance and troubleshoot data systems.

Skills

SQL

Python

Scala

Data Modeling

Cloud Data Services

Big Data

Spark

ETL/ELT

Education

Bachelors in CS/Engineering/Math

Tools

AWS S3/Redshift/Glue

Azure Data Lake/Synapse

GCP BigQuery/Dataflow

Kafka

Spark/Hadoop

Job description

About the Role

Our client is seeking a skilled and proactive Data Engineer to join their fully remote, international team. This role, supporting data operations for clients originating from areas like Nelspruit, is essential for building and maintaining robust data pipelines and infrastructure that power analytics and business intelligence. You will work with large datasets, ensuring data quality, availability, and accessibility for data scientists and analysts. This is an exciting opportunity to contribute to a data-driven organization, work with modern big data technologies, and thrive in a collaborative remote environment that values innovation and technical excellence.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines and ETL/ELT processes.
• Develop and optimize data warehousing solutions and data lakes to support analytics and reporting needs.
• Ensure data quality, integrity, and security across all data systems.
• Collaborate with data scientists and analysts to understand data requirements and provide clean, usable datasets.
• Implement and manage data infrastructure using cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
• Monitor data systems performance and troubleshoot issues to ensure optimal operation.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 3+ years of experience in data engineering, data warehousing, or a related role.
• Proficiency in SQL and experience with programming languages like Python or Scala.
• Hands-on experience with cloud data services (e.g., AWS S3, Redshift, Glue; Azure Data Lake, Synapse; GCP BigQuery, Dataflow).
• Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and ETL/ELT tools.
• Strong understanding of data modeling and database design principles.

Benefits

• Competitive salary and performance-related bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible remote work arrangements and a focus on work-life balance.
• Opportunities for professional growth and learning new data technologies.
• A dynamic and collaborative team environment with a global reach.