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Senior Data Analyst

2 weeks ago

Midrand, Gauteng, South Africa iSanqa Full time R1 200 000 - R2 400 000 per year
Introduction

Engineer near real-time analytics platforms that power global production quality monitoring

Build scalable data pipelines with Apache Spark, Databricks, and Kafka, delivering mission-critical insights across worldwide manufacturing operations

Drive end-to-end data engineering solutions, where your expert skills in PySpark, Delta Lake, and Azure will transform raw streaming data into trusted insights that optimize production quality globally

Expert data engineering with Apache Spark, Databricks, and Delta Lake

Hybrid and remote working flexibility with 1960 flexible annual hours

Architectural role with global production quality impact

POSITION: Contract: 01 January 2026 – 31 December 2028

EXPERIENCE: 6-8 Years related experience

COMMENCEMENT: 01 January 2026

LOCATION: Hybrid: Midrand/Menlyn/Rosslyn/Home Office rotation

TEAM: Near Real Time Analytics (NRTA)

Near Real Time Analytics (NRTA) consumes data from various sources, esp. Kafka streams in order to provide near real time visualizations (dashboards) for end users, as well as triggering warnings based on simple rules or machine learning model inference. NRTA focusses on supporting all plants and productions lines all over the world in the domain of production quality.

Duties & Responsibilities

Role Requirements

  • Design, develop, and maintain high-quality software applications
  • Collaborate with product owners and stakeholders to gather requirements
  • Implement new features and improve existing functionalities
  • Conduct code reviews and ensure adherence to coding standards
  • Troubleshoot and resolve software defects and performance issues
  • Contribute to the design and implementation of CI/CD pipelines
  • Stay updated with emerging technologies and industry trends
  • Document technical specifications and processes
  • Mentor junior developers and provide technical guidance
  • Participate in Agile ceremonies and contribute to team goals
  • Ensure security compliance and implement best practices
  • Managing and enabling internal and external teams to carry out implementation tasks
  • Independent programming IT Solutions
  • Collaborating closely with IT providers
  • Taking end-to-end responsibility for functions and products from collecting requirements to implementation and problem solution
  • Controlling and managing the software lifecycle and continuously integrating and deploying IT applications
  • Applying test-driven development methods
  • Applying in-depth knowledge and expertise to develop accurate software solutions for products
  • Collaborating with product stakeholders
  • Executing development activities
  • Working according to Agile methods, e.g. Scrum

NB:

  • South African citizens/residents preferred.
  • Valid work permit holders will be considered.
  • By applying, you consent to be added to the database and to receive updates until you unsubscribe.
  • If you do not receive a response within 2 weeks, please consider your application unsuccessful.

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Desired Experience & Qualification

Qualifications / Experience

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field
  • 3+ years of hands-on data engineering experience

Essential Skills Requirements

  • Expertise with Apache Spark (PySpark), Databricks notebooks, Delta Lake, and SQL
  • Strong programming skills in Python for data processing
  • Experience with cloud data platforms (Azure) and their Databricks offerings; familiarity with object storage (ADLS)
  • Proficient in building and maintaining ETL/ELT pipelines, data modeling, and performance optimization
  • Knowledge of data governance, data quality, and data lineage concepts
  • Experience with CI/CD for data pipelines, and orchestration tools (GitHub Actions, Asset Bundles or Databricks' jobs)
  • Strong problem-solving skills, attention to detail, and ability to work in a collaborative, cross-functional team

Advantageous Skills Requirements

  • Experience with streaming data (Structured Streaming, Kafka, Delta Live Tables)
  • Familiarity with materialized views, streaming tables, data catalogs and metadata management
  • Knowledge of data visualization and BI tools (Splunk, Power BI, Grafana)
  • Experience with data security frameworks and compliance standards relevant to the industry
  • Certifications in Databricks or cloud provider platforms
Interested?