Lead Data Engineer

Powerfleet

Data Engineering Lead managing a team and building scalable data products at Powerfleet. Involved in AI integration and real-time data processing with a focus on higher efficiency.

Posted 4/30/2026full-timeRemote • 🇿🇦 South AfricaSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSDockerETLKafkaKubernetesPySparkPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Lead, hire, and develop a team of data engineers, including performance management and career growth
Own end-to-end delivery, including sprint planning, prioritization, and execution
Establish engineering standards and ensure high-quality, consistent output
Partner with cross-functional stakeholders to align data initiatives with business priorities
Design and evolve scalable data architecture across ingestion, transformation, storage, and consumption layers
Build and maintain high-volume ETL/ELT pipelines for real-time and batch data
Lead data modeling, governance, and data quality practices
Drive adoption of AI and automation across data engineering workflows
Partner with data science teams to operationalize models and embed AI into data products
Evaluate and implement emerging tools with a focus on practical impact

Requirements

What you’ll need

Bachelor’s degree with 8+ years (or Master’s with 5+) of relevant experience
2+ years of experience managing or leading engineers
Proven experience running agile delivery and developing engineering talent
Strong stakeholder management and communication skills
Strong expertise in modern data architecture (data lakes, warehouses, lakehouse)
Experience with Snowflake and advanced SQL/data modeling (e.g., Kimball, star schema)
Proficiency in Python, SQL, and Spark (PySpark preferred)
Experience with streaming technologies such as Kafka
Hands-on experience with AWS (S3, Glue, EMR, Lambda, Redshift)
Familiarity with CI/CD, Infrastructure-as-Code (Terraform/CloudFormation), Airflow, Docker, and Kubernetes
Understanding of data governance, quality, and observability best practices

Benefits

Comp & perks

health insurance
retirement plans
paid time off
flexible work arrangements
professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLSparkETLELTdata modelingdata governancedata qualitystreaming technologiesagile delivery

Soft Skills

leadershipstakeholder managementcommunicationperformance managementcareer growthteam developmentprioritizationexecution