Remote Lead Data Engineer — AI & Big Data Platforms

Placements24; Benoni; Híbrido; ZAR 2 334 000 - 3 334 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

High salary & bonuses

Home office stipend

Professional development budget

Global remote team

Resumo da oferta

Placements24 is seeking a highly experienced Lead Data Engineer for a fully remote role. You will design and manage scalable data pipelines and cloud platforms to power AI and analytics initiatives, guiding a team of data engineers and collaborating with data scientists.

The role emphasizes data governance, quality, and security, with opportunities for professional development and a strong compensation package. You will work in a remote-first environment with global teams.

Qualificações

• Master's degree or higher in a quantitative field.
• 8+ years in data engineering with 3+ years in lead roles.
• Experience designing large-scale data pipelines with Spark, Kafka, Flink.
• Proficiency with cloud data services and data warehousing concepts.
• Experience with Docker, Kubernetes, and IaC tooling.

Responsabilidades

• Lead design and implementation of scalable data pipelines.
• Architect and manage cloud-based data platforms optimized for AI workloads.
• Oversee data warehousing, data lakes, and ETL/ELT processes.
• Mentor data engineers and collaborate with data scientists.
• Ensure data quality, security, and governance across platforms.
• Drive performance, cost-efficiency, and scalability strategies.

Conhecimentos

Leadership

Data engineering

Cloud platforms

Big data

MLOps

SQL

NoSQL

Containerization

Terraform

Kubernetes

Spark

Kafka

Flink

Formação académica

Master's degree in Computer Science / Engineering / Data Science

Ferramentas

AWS

Azure

GCP

Redshift

BigQuery

Snowflake

S3

ADLS

Descrição da oferta de emprego

Placements24 is seeking a highly experienced Lead Data Engineer for a fully remote role. You will design and manage scalable data pipelines and cloud platforms to power AI and analytics initiatives, guiding a team of data engineers and collaborating with data scientists.

The role emphasizes data governance, quality, and security, with opportunities for professional development and a strong compensation package. You will work in a remote-first environment with global teams.