In proud partnership, SCC LLC is excited to deliver jobs at Rio Tinto Mongolia and its Mongolia Business Services & Support Centre.

Purpose of the Role

The Senior Analyst Data Engineering is a key member of the Group Operational Reporting team, responsible for designing, developing, and maintaining scalable data engineering solutions that support trusted reporting and analytics across Rio Tinto business areas. The primary focus of this position is to deliver high-quality data pipelines, data models, and reporting-ready datasets within the PRiME platform to enable reliable and actionable insights for business users. The role will also support PRiME's transition to Databricks Lakehouse.

Contract length: 6 months + 6 months

Key Responsibilities

• Build and maintain robust data pipelines that support ingestion, transformation, and integration of data from enterprise and operational source systems into curated, business-aligned datasets
• Collaborate with analysts, engineers, and product owners to understand data requirements and deliver solutions aligned with business needs
• Develop and enhance data models and reporting-ready datasets to meet evolving reporting requirements, ensuring alignment with business logic
• Configure and manage data catalogue and metadata standards to support platform governance, discoverability, and consistent data ownership
• Contribute to architectural improvements that enhance pipeline orchestration, performance, and platform scalability
• Provide ongoing platform support, including monitoring pipeline executions, resolving data load issues, and supporting incident investigation and resolution
• Produce clear technical documentation and support knowledge transfer across technical and business teams

Required Skills & Experience

• Bachelor's degree or above in Computer Science, Data Science, Information Systems or related field
• Solid understanding of data engineering concepts including ETL workflows, data modeling, and data quality principles
• Proficiency in SQL and Python for data extraction, transformation, and analysis
• Ability to translate business concepts, processes, and requirements into both relational and dimensional models
• Experience with tabular models and a basic understanding of DAX
• Familiarity with Microsoft Power Platform, especially Power BI and Power Apps
• Experience using version control tools, such as Git, and working within collaborative development environments
• Strong analytical and problem-solving skills with attention to detail and data accuracy
• Effective communication and teamwork skills to collaborate with both technical and business stakeholders

It will be a plus if you have:

• Exposure to Databricks Lakehouse, Delta Lake, Azure data services, or enterprise reporting platforms
• Experience working in Agile teams and contributing to iterative project delivery
• Awareness of mining, operations, or industrial data systems is advantageous

If you are interested in this role, please send the required documents to udval@scc.mn and feel free to contact me at 9973-6353 for any questions.

Required documents:

- CV
- Cover Letter

Deadline: 29 June 2026