Senior Data Engineer

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Competitive bonus program

Health, dental, and vision insurance

Professional development

Remote work environment

Flexible scheduling

Job summary

Placements24 seeks a Senior Data Engineer to join a remote-first team responsible for designing, building, and maintaining scalable data pipelines and infrastructure supporting advanced analytics and ML initiatives.

You will work with data warehousing, ETL/ELT processes, and big data technologies, collaborating with Data Scientists and Analysts to deliver data-driven solutions while ensuring data quality, security, and reliability at scale.

Qualifications

• Bachelor's or Master's in CS/Engineering or related field.
• 5+ years of professional data engineering experience.
• Strong SQL and at least one programming language (Python/Scala).
• Experience with data warehousing and ETL/ELT tools.
• Familiar with Spark, Hadoop or Kafka and cloud data services.

Responsibilities

• Design, construct, install, test, and maintain scalable data pipelines.
• Develop and optimize ETL/ELT processes to ingest data into warehouses/data lakes.
• Build and maintain data models and schemas for analytics and reporting.
• Collaborate with Data Scientists and Analysts to meet data needs.
• Ensure data quality, integrity, and security across platforms.
• Implement monitoring and alerting for data pipelines.

Skills

SQL

Python/Scala

Big data concepts

Data modeling

Education

Bachelor's or Master's in CS/Engineering

Tools

Snowflake

Redshift

BigQuery

Spark

Hadoop

Kafka

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly experienced Senior Data Engineer to join their innovative, remote-first team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our advanced analytics and machine learning initiatives. This role requires a deep understanding of data warehousing, ETL processes, and big data technologies. You will play a key role in shaping our data strategy and enabling data-driven decision-making across the organization. This is an excellent opportunity for a seasoned professional to drive impactful data solutions.

Key Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems and pipelines.
• Develop and optimize ETL/ELT processes to ingest and transform data from various sources into data warehouses or data lakes.
• Build and maintain robust data models and schemas to support analytical and reporting needs.
• Collaborate with Data Scientists, Analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all data platforms.
• Implement monitoring and alerting for data pipelines to ensure reliability and performance.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of professional experience in data engineering or a similar role.
• Proven experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and ETL/ELT tools.
• Proficiency in SQL and at least one programming language like Python or Scala.
• Experience with big data technologies such as Spark, Hadoop, or Kafka.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and attending industry conferences.
• Fully remote work environment with flexible scheduling options.
• A dynamic and collaborative team culture focused on innovation and continuous learning.