Data Engineer

Data Engineer

Glencore Copper

Maidenhead, England

Glencore Copper is seeking a Data Engineer to support the growth and development of our Copper Portfolio to be based at our Maidenhead office in England. This role will support our projects and current operations globally.

Glencore Copper

We are one of the world’s largest producers and marketers of copper with our mining operations and development projects in key mining regions of Africa, Australia and America.

The Opportunity

The Data Engineer is accountable for developing, managing, and optimizing intricate data architectures, pipelines, and ETL processes, which are pivotal for proficient data handling and derivation of actionable insights. By introducing industry best practices into the digital projects of the organization, the position ensures a maximized constructability profile. Furthermore, this role stands as a guardian of data, ensuring its security, separation, and compliance across various Glencore international boundaries, all while satisfying the multifaceted data infrastructure needs of the business.

In this role you will:

• Supporting the business plan through the creation and meticulous maintenance of optimal data models and pipelines, the position bolsters the business's vision of leveraging data driven decision making through optimal systems and processes.
• Enhance efficiencies for different teams, promoting automated processes which replace manual labour, and enhancing data delivery systems. This pivotal transformation permits team members to channel their focus on tasks that directly add value.
• Liaise with business and other stakeholders to elicit and clarify data requirements, including assessing implementation feasibility and delivery.
• Perform tasks in accordance with quality procedures or architecture requirements as applicable.
• innovative data techniques to identify and solve the most pressing problems within the copper business
• Build and maintain advanced analytics platforms, tools, and products
• Build and maintain data pipelines to capture, clean, and democratise information

• Lead, design and build tactical data architectures and databases to support internal product development
• Lead, design and build highly complex solutions in collaboration with data scientist, full stack developers and subject matter experts
• Produce high quality code using internal guidelines, frameworks, documentation to scale and maintain the internal technology stack.

Your training, skills & expertise checklist:

• Bachelor's degree in a relevant IT, Software, Computer Science or Engineering discipline.
• MBA/MIS or Tertiary qualification desirable.
• Agile Certification desirable.
• Lean Six Sigma and/or Project Management Certification desirable.
• 8+ years' experience in industry projects, mining or similar is desirable.
• 5+ years of experience as a Data Engineer.
• Experience building and optimising ‘big data’ data pipelines, ETLs, architectures and data sets
• Proven experience managing, maintaining, and improving quality in data pipelines.
• Strong knowledge in building processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Knowledge in manipulating, processing, and extracting value from large, disconnected datasets.
• Strong experience in SQL applied on different platforms.
• Experience in Python, Pyspark, RedPanda, Dagster, Kubernetes (Developer), Dockers.
• Demonstrated experience in using big data & cloud development such as databricks, datafactory, Kafka, Spark, Hadoop and microservices.
• Building reports using PowerBI or similar.