Design scalable big data pipelines as a Senior Data Engineer on a fully remote team, using Python, SQL, and cloud platforms.

This senior position supports advanced analytics and machine learning initiatives through reliable data infrastructure. You will build batch and real-time processing solutions, work with vast datasets, and improve data access. Collaboration with data scientists and analysts remains central to understanding requirements and delivering productive systems.

Key Responsibilities:

- Design and optimize scalable batch and real-time data pipelines
- Build cloud data warehouses and data lakes
- Implement ETL and ELT processes from varied sources
- Ensure data quality, integrity, and reliability
- Monitor infrastructure and address performance issues proactively

Requirements:

- Six or more years in data engineering or related work
- Bachelor's degree in Computer Science, Engineering, or related field
- Big data pipeline experience with Spark, Hadoop, or Hive
- Proficiency in SQL and relational or NoSQL databases
- Python, Scala, or Java programming skills

Apply senior data engineering expertise across pipelines, cloud infrastructure, SQL, and big data processing in a remote setting.

📌 Senior Big Data Pipeline Engineer (Kimberley)
🏢 Placements24
📍 Kimberley