Job Details

Principal Data Engineer

About

Description

At Nintex, we are redefining the way people work by delivering the global standard in process intelligence and automation. With over 10,000 customers worldwide, including Amazon, Coca-Cola, and Microsoft, the Nintex Platform accelerates digital transformation by helping organizations optimize and automate business processes. As a Principal Data Engineer, you will play a critical role in leading data acquisition and processing across Nintex, working to design, implement, and mentor within your team while contributing to the larger data engineering community. This position requires a proactive approach to data engineering with a focus on building end-to-end data pipelines, optimizing data storage, and enabling efficient big data querying to drive valuable business insights.

Responsibilities

  • Ensure data history meets data science modeling needs
  • Identify Intellectual Property (IP) opportunities and contribute to the Nintex Patent process
  • Coordinate data inputs from multiple sources to create comprehensive reporting artifacts
  • Maintain instrumentation to monitor data ingestion systems’ stability and availability
  • Leverage Azure event hubs and functions for data operations
  • Implement optimal data pipeline architectures (data warehouse, data lake, data lakehouse)
  • Optimize ETL processes for handling large data sets efficiently
  • Adapt partitioning and data organization for optimized big data querying
  • Implement data storage and security protocols aligned with Nintex’s data policies
  • Participate actively in incident management, including on-call rotation
  • Document data stream boundaries, types, and definitions to support data transformation for end users

Qualifications

  • 8+ years of experience in data engineering
  • Hands-on experience with Platform as a Service (PaaS)
  • Proficiency with Azure, DataBricks, Unity Catalog
  • Familiarity with Hadoop/Spark, Kafka, and Azure OpenAI
  • Experience in Scala and Python is advantageous
  • Experience with real-time data streaming and distributed computing is a plus

Application instructions:

  • To apply, simply click the apply button.

Hiring organization

Hiring organization image

Nintex

Employment Type: job

Job Location: Johannesburg, Gauteng, South Africa

Base Salary: Market Related

Closing Date:

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