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Full-time

Associate Data Engineer

Competitive

Langhorne, PAIT & TechnologyPosted 30+ Days Ago

You'll complete your application on the employer's website.

Role overview

Job type

Full-time

Salary

Competitive

Posted

30+ Days Ago

Job description

Sibanye-Stillwater is seeking an Associate Data Engineer to support its Recycling & Refining organization through the Business Intelligence Center of Excellence. The role focuses on building and maintaining data pipelines, datasets, and technical solutions for analytics, reporting, and data products, while developing expertise in SQL, Python, automation, data modeling, and cloud technologies.

Responsibilities

Support building and maintaining data ingestion and transformation pipelines

Develop clean, reliable, and well-modeled datasets aligned with business requirements

Use SQL and Python to develop, maintain, and optimize data solutions

Monitor scheduled pipelines, troubleshoot failures, and support data incident resolution

Implement data quality checks to improve data accuracy, completeness, and reliability

Create dashboards and support reporting and analytics requirements

Identify opportunities to automate manual and repetitive business processes

Support integrations using REST APIs, JSON, and structured data sources

Maintain data lineage, technical documentation, and operational runbooks

Use version control and established development practices to manage code changes

Support data governance, security, access controls, and production quality standards

Contribute to evolving data architecture and engineering best practices

Preferred

1–2 years of data engineering experience

Experience with data orchestration and Git-based version control

Familiarity with REST APIs and JSON

Exposure to cloud data warehouse or Lakehouse environments

Familiarity with Azure Databricks, Azure Data Factory, Snowflake, or BigQuery

Experience with Docker or similar containerization technologies

Relevant Azure or data management certifications

1–2 years of data engineering experience.

Data Engineering

Data Orchestration

Git Version Control

REST APIs

JSON

Cloud Data Warehousing

Lakehouse Environments

Azure Databricks

Azure Data Factory

Snowflake

BigQuery

Docker

Containerization

Azure Certifications

Data Management Certifications

Company

Precious metals recycling and refining for businesses

Westonaria, NA - South Africa, ZAF

https://www.sibanyestillwater.com/

Founded in 2013

201-500 employees

Qualifications

High School Diploma or equivalent

5+ years of data analytics experience

Proficiency in SQL and working knowledge of Python

Understanding of data modeling and ETL/ELT concepts

Experience with Power BI or a similar visualization platform

Experience with business process automation

Strong analytical, problem-solving, and communication skills

The successful candidate must meet all applicable eligibility and access requirements associated with the position

1–2 years of data engineering experience

Experience with data orchestration and Git-based version control

Familiarity with REST APIs and JSON

Exposure to cloud data warehouse or Lakehouse environments

Familiarity with Azure Databricks, Azure Data Factory, Snowflake, or BigQuery

Experience with Docker or similar containerization technologies

Relevant Azure or data management certifications

5+ years of data analytics experience.

Required skills

Data Analytics, SQL, Python, Data Modeling, ETL/ELT, Power BI, Business Process Automation, Git, REST APIs, JSON, Azure Databricks, Cloud Data Warehousing

Preferred skills

1–2 years of data engineering experience, Familiarity with REST APIs and JSON, Exposure to cloud data warehouse or Lakehouse environments, Relevant Azure or data management certifications, Westonaria, NA - South Africa, ZAF, https://www.sibanyestillwater.com/, Public Company, Total Funding, $3.83B, 2026-05-08, Post Ipo Debt· $500M, 2024-08-22, Post Ipo Debt· $555.79M, 2020-02-19, IPO, Recent News, Yahoo Finance, 2026-09-22, Pulse 2.0, 2026-09-04, Business Insider, 2026-09-03, Company data provided by, AI Tools, Customize Your Resume, Maximize your interview chances, Build Cover Letter, Make your application stand out, Analyze How Well You Fit, Understand your strength & weakness

Experience

5+ years

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