Sibanye-Stillwater
Associate Data Engineer
- Compensation
- Not disclosed
- Location
- Langhorne, PA
- Work setup
- Hybrid
- Seniority
- Junior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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.
Nice to have
- 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.
Full description
Sibanye-Stillwater | Recycling & Refining
Sibanye-Stillwater is seeking an Associate Data Engineer to join our Business Intelligence Center of Excellence supporting the Recycling & Refining organization.
Location: Langhorne, PA
Work Arrangement:100% onsite. This role is not eligible for remote or hybrid work schedules.
This hands-on role focuses on supporting the building and maintenance of the data pipelines, datasets, and technical solutions that support analytics, reporting, and data products across the business. It is particularly well suited for an experienced Data Analyst looking to transition into Data Engineering and expand their experience with SQL, Python, automation, data modeling, and cloud-based technologies.
What You'll Do
- 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.
What We're Looking ForRequired 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.
Preferred Qualifications
- 1–2 years of data engineering experience.