Our client, a leading mining company, is seeking a Strong Intermediate Data Engineer to join a critical SAP project. This is an excellent opportunity for a skilled data professional to contribute to a high-impact project within a large enterprise environment.
The successful candidate will be responsible for designing, developing, and maintaining data integration solutions, ensuring reliable and efficient movement of data across business systems. While the role is primarily remote, the candidate will be required to work on-site in Johannesburg for approximately one week during the project go-live phase.
RequirementsKey Responsibilities
- Design, develop, and maintain ETL processes and data pipelines.
- Develop, optimise, and maintain complex SQL queries and database solutions.
- Integrate data from multiple enterprise systems.
- Ensure data quality, integrity, and consistency across platforms.
- Troubleshoot and resolve ETL and database-related issues.
- Work closely with business stakeholders, project teams, and technical specialists to deliver project objectives.
- Support data migration and integration activities within the SAP project.
- Participate in testing, deployment, and go-live support.
- Bachelor's degree in Computer Science, Information Technology, Information Systems, Software Engineering, Data Science, or a related field.
- Proven experience as a Data Engineer in enterprise environments.
- Strong hands-on experience with ETL development and data integration.
- Advanced SQL skills with the ability to write and optimise complex queries.
- Experience working with relational databases.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills.
- Ability to work independently within a fast-paced project environment.
- Experience working with SAP environments or SAP data integration.
- Previous experience on large-scale enterprise transformation or migration projects.
- Experience within the mining or industrial sectors would be beneficial.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Information Systems, Software Engineering, Data Science, or related field
- Proven experience as a Data Engineer in enterprise environments
- Hands-on experience with ETL development and data integration
- Advanced SQL skills and ability to write and optimise complex queries
- Experience working with relational databases
- Excellent analytical and problem-solving abilities
- Strong communication and collaboration skills
- Ability to work independently within a fast-paced project environment
- Experience working with SAP environments or SAP data integration
- Previous experience on large-scale enterprise transformation or migration projects
- Experience within the mining or industrial sectors
- Relevant Data Engineering, SQL, Cloud, or SAP certifications
What We Do
Blue Pearl is a market-leading CLOUD Solutions developer with extensive knowledge and insight into the latest technologies, standardised processes, advanced technical capabilities and consulting processes available, ensuring wholistic success for our clientele. We offer professional consulting to compliment your business strategy and overall management and make it our priority to add value to any business by listening, analysing and creating a conducive solution that will empower our client. We implement a Data Analysis Process that includes inspecting, cleansing, transforming, and modelling data with the end-goal of discovering useful information, informing conclusions, and relevant information to support your decision-making. Your business cannot afford not to engage with us, allowing our data analysis to play a role in making your business decisions more scientific and helping your business achieve effective operation. Blue Pearl’s team of experts include BI strategists, BI analysts, Data Warehouse Architects, Data Scientists, Implementation and Development experts. With the use of BI, Analytics and Big Data, we effectively partner with our customers on their mission to achieve a competitive business advantage and real ROI from the structured information we collect.
