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Company

BHPSee more

addressAddressBrisbane
CategoryEngineering

Job description

About BHP

At BHP we support our people to grow, learn, develop their skills and reach their potential. With a global portfolio of operations, we offer a diverse and inclusive environment with extraordinary career opportunities. Our strategy is to focus on creating a safe work environment where our employees feel strongly connected to our values and objectives, and where the capability of our people is key to our success. Come and be a part of this success.

About the Role

BHP is generating large amounts of data from different sources. Reporting to the Manager Data Analytics and Engineering, your task as a Principal Data Platform Engineer, is to provide expertise in the design, implementation and continuous improvements of BHP’s core Advanced Analytics platform. This platform provides a re-usable capability for project teams and customer groups to leverage to solve their business problems, or optimise their business processes using ML and AI techniques.



Through a diverse range of project and team engagements you will gain exposure to various problem spaces and data domains and bring your expertise in modern data centric technologies to the table to guide, propose, document and implement world-class solutions.


We are looking for an experienced Data Engineer with an interest in ML and Cloud Data Engineering and who is excited to build & improve on a re-usable platform for Data Scientists and Decision Scientists to use. This role can be based in Brisbane, Perth or Santiago.

Key Responsibilities

  • Work within the Advanced Analytics Platform team to provide expertise in guiding the design and ongoing success of BHP’s core advanced analytics offerings (comprising of AWS and Azure PaaS services e.g. Sagemaker, Azure ML as well as other capabilities such as Snowflake Snowpark) for our wide variety of user groups and customers.
  • Liaise closely with our Data Storage & Processing platform team (S3, Snowflake, DBT etc) to provide seamless ingestion to consumption experience for our users embarking on advanced analytics projects.
  • Liaise closely with out Visualisation product team to complement the existing analytics offerings with Advanced Analytics capabilities.
  • Liaise with project delivery partners, providing advice and consultations.
  • Seek to continuously improve the Advanced Analytics platforms with automation opportunities, cost optimisation, monitoring and guidance on new feature releases.
  • Champion the adoption of BHP Enterprise Data Platforms throughout the business
  • Define, communicate and maintain standards, frameworks, guidelines and best practice engineering guides for advanced analytics offerings.
  • Pro-actively engage and collaborate with Data Platform Architecture, Cyber Security, other Data Platform Teams, Project Teams and BHP Cloud Teams.

About You

You are a person with a drive for continuous learning and adaptable to new technologies. You enjoy keeping up to date with the latest happenings in the market in regards to data-centric platforms. You will bring your hands-on expertise in modern data centric technologies to the table engineer and implement world-class data platforms. You are also an excellent communicator who can guide and influence project and program stakeholders across the organization.

Essential:

  • 5+ years in hands-on data engineering or data platform engineering orientated roles with primarily cloud-based PaaS and SaaS platforms.
  • 5+ years professional exposure to modern/cloud data centric platforms and infrastructure - including enterprise data warehouses/data lakes, master data, integration platforms, data virtualisation, reporting/data warehousing and advanced analytics platforms.
  • 2+ years experience and expertise in source control and CI/CD practices.
  • Hands-on experience (personal or professional) with common data science libraries, languages and tools (e.g. jupyter notebooks, tensorflow, r-scripting, python scripting, pandas etc) as well as knowledge of general data science practices including common algorithms etc.
  • Experience (personal or professional) with MLops toolsets, processes.
  • Experience in the creation of data platform related patterns and/or engineering best practices/guides for wide user consumption
  • Understanding of patterns, techniques and principles relating to enterprise integration, data warehousing, data hubs, data virtualisation and advanced analytics solutions.

About our Process

At BHP, we are committed to employing individuals who align with the BHP Charter Values and meet the requirements of the role. As part of the recruitment process, there are a number of checks which may be conducted to demonstrate applicants suitability for a role including police / criminal background checks, medical, drug and alcohol testing, due diligence checks, right to work checks, and/or reference checks.


BHP also requires employees in Australia to be fully vaccinated against Covid-19 to ensure the safety and wellbeing of our people (from the 31st of January 2022 or earlier depending on relevant state health directives). If you are applying for a role at BHP please consider this new requirement when submitting your application. BHP will also adhere to any relevant health directives that may be made that affects our workforce. For further information please see our website (LINK)

Supporting a Diverse Workforce

The size and magnitude of our business not only provides significant opportunity for professional development, but also attractive salary packages with performance-based bonuses and a unique BHP employee share program.


At BHP, we recognise that we are strengthened by diversity. We are committed to providing a work environment in which everyone is included, treated fairly and with respect. We are an Equal Opportunity employer and we encourage applications from women and Indigenous people. We know there are many aspects of our employees' lives that are important, and work is only one of these, so we offer benefits to enable your work to fit with your life. These benefits include flexible working options, a generous paid parental leave policy, other extended leave entitlements and parent rooms.

LI

Refer code: 294843. BHP - The previous day - 2022-10-06 17:35

BHP

Brisbane

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