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Form of workAbout the Company: We are excited to be partnering with a leading player in the mining sector, dedicated to providing innovative solutions that enhance safety and productivity in mining operations. They are currently seeking a highly skilled and motivated individual to join their team as a Data Engineering Lead. This role is pivotal in shaping their Cloud Data Platform and driving excellence in data management to empower thier client's data-driven decision-making.
Responsibilities:
Design and Develop Cloud Data Platform:
- Architect and develop our Azure-based Cloud Data Platform, adhering to industry best practices.
- Implement robust and scalable data solutions using tools such as Data Factory, Data Bricks, Synapse, and Data Lake.
Lead Data Platform Design and Delivery:
- Coordinate and lead the design and delivery activities for the Azure Data Platform.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
Hands-On Cloud Data Platform Management:
- Lead efforts to build and maintain our client's cloud data platform, including hands-on involvement in information models and solutions.
Vendor and Partner Collaboration:
- Work with external vendors and partners as needed to implement and maintain cloud-based software solutions.
- Ensure third-party solutions align with regulatory requirements and industry standards.
Architecture and Integration Solutions:
- Establish robust and scalable architecture for data ingestion and data integration solutions.
- Oversee the execution of Data Engineering and Data Modeling activities within a modern, agile framework.
Compliance and Standards:
- Ensure that cloud-based software solutions comply with relevant regulatory requirements and industry standards.
Agile Framework Management:
- Manage Data Engineering and Data Modeling activities following a modern, agile framework.
- Ensure alignment with the Data & Analytics team sprint plans.
Requirements:
Education:
- University Degree or equivalent with a relevant focus on Data Engineering.
Technical Skills:
- Significant experience in developing data ingestion solutions in the Azure ecosystem (Data Factory, Data Bricks, Synapse, Data Lake).
- Experience designing and developing data models across various functional areas.
- Proficiency in data profiling, facilitating business-led data cleansing, and implementing Data Quality frameworks.
- Familiarity with CI/CD processes and tools, along with a sound knowledge of software engineering principles.
Methodologies:
- Experience using agile delivery frameworks (e.g., SCRUM / SAFe).
Communication and Leadership:
- Comfortable and confident leading and facilitating data-focused workshops with the business.
