Senior Data Engineer: Build Scalable Pipelines & Warehouses

Placements24; Randburg; Hybrid; GBP 41,000 - 68,000; Full time

Benefits offered by this job

Hybrid work model

Health benefits

Professional development

Job summary

Placements24 is searching for a Senior Data Engineer to lead the design and maintenance of scalable data pipelines and data infrastructure in a hybrid work setup. You will collaborate with data scientists, analysts, and BI teams to deliver reliable data solutions for analytics and business intelligence initiatives.

The role requires 5+ years in data engineering, strong SQL, and expertise in cloud platforms and big data tools. A focus on data quality, governance, and performance is essential.

Qualifications

• 5+ years of data engineering experience.
• Strong SQL proficiency and data warehousing knowledge.
• Proficient in Python or Scala and big data tech (Spark/Hadoop).
• Experience with cloud data services (AWS/Azure/GCP).
• Familiar with orchestration tools like Airflow or Luigi.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Develop and manage data warehouses and data lakes.
• Optimize data retrieval and processing for performance and cost.
• Collaborate with data scientists and analysts on data needs.
• Implement data governance and security best practices.
• Monitor and troubleshoot data infrastructure and pipelines.

Skills

5+ years experience

SQL

Python/Scala

Cloud platforms

Airflow

Education

Bachelor's or Master's in CS/Engineering

Tools

PostgreSQL

MySQL

Snowflake

Redshift

Spark

Hadoop

Job description

Placements24 is searching for a Senior Data Engineer to lead the design and maintenance of scalable data pipelines and data infrastructure in a hybrid work setup. You will collaborate with data scientists, analysts, and BI teams to deliver reliable data solutions for analytics and business intelligence initiatives.

The role requires 5+ years in data engineering, strong SQL, and expertise in cloud platforms and big data tools. A focus on data quality, governance, and performance is essential.