Data Engineer

At First Quantum, we free the talent of our people by taking a very different approach which is underpinned by a very different, very definite culture – the “First Quantum Way”. Working with us is not like working anywhere else, which is why we recruit people who will take a bolder, smarter approach to spot opportunities, solve problems and deliver results.

Our culture is all about encouraging you to think independently and to challenge convention to deliver the best result. That’s how we continue to achieve extraordinary things in extraordinary locations.

First Quantum Minerals is a leading Canadian-based global mining & metals company focused on the production of copper, nickel, gold & cobalt. As a company, we strive for continuous excellence and after 25 years of operations we are now one of the world’s top 10 copper producers, exporting millions of tonnes of concentrate from multiple countries to customers worldwide. Our operations and future developments span across Africa, Europe, the Middle East, Australia and the Americas, and we are globally recognised for our specialist technical, engineering, construction and operational skills, which allow us to unlock value from complex mineral projects and deliver rewarding careers for our people, returns for our shareholders and sustainable development for the many local communities that host our operations.

As we expand our operations, continue to provide metals to build the modern world and shift to a low carbon, greener economy in the years ahead, our mining projects will continue to require the best and the brightest talent to help us solve the emerging challenges of our time, shape our business and unlock opportunities for our future.

Although our production and financial results are the engine that drives our business, it is the depth of capability in our people that will continue to determine First Quantum’s ongoing success. Reporting to the Lead, Group Data Operations, this role will form an integral part of our global D&A function and act as the technical authority for data engineering k collaboratively within an integrated team of Data Engineering, Data Designers, Data Scientists, Database Administrators, Dev Ops Engineer and Data Architects, this role will be responsible for designing, developing, and maintaining data pipelines and systems in the Azure cloud environment, ensuring the smooth deployment and vigilant monitoring of data solutions.

As such, success will be measured not by pipelines built, but by a service that is sustainable, repeatable, performant, and trusted by the business.

What success looks like in year one Measurably improved SLAs across the Data Engineering Service. Automation and refined processes across Dev Ops and the Engineering Service. The reputation of the Data Engineering Service is demonstrably high within the business. Increased data literacy and engineering capability across data operations. A strong, functioning relationship with the Centre of Excellence.

• Primary Role In collaboration with the Group Data Operations Lead, they will advise architecture enhancement and design engineering patterns for the Data Engineering Service across Azure Databricks and Azure Data Factory.
• Define and enforce the distinction between data engineering patterns (optimised for fast, large-scale processing) and integration engineering patterns (Azure Integration Services, streaming, alerting, and monitoring), ensuring work is routed to the right discipline.
• Set the optimisation strategy for the platform… caching, indexing, partitioning, and cost.
• Drive automation through the data engineering delivery lifecycle so that repeatable work is engineered out and not bloat MSP uptime.
• The role will have advanced SQL knowledge to continue delivery of pre-existing patterns and collaborate with DBA and Platform Owner from DNA CoE.
• Quality, Dev Ops and release:
  Act as the engineering quality gate: review MSP and internal code before main branch and to own the definition of done for data engineering and Integration work.
• Own the Dev Ops practice end to end. Focusing on CI/CD for…